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# Ultralytics YOLO 🚀, AGPL-3.0 license |
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# Open Images v7 dataset https://storage.googleapis.com/openimages/web/index.html by Google |
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# Documentation: https://docs.ultralytics.com/datasets/detect/open-images-v7/ |
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# Example usage: yolo train data=open-images-v7.yaml |
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# parent |
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# ├── ultralytics |
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# └── datasets |
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# └── open-images-v7 ← downloads here (561 GB) |
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# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..] |
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path: ../datasets/open-images-v7 # dataset root dir |
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train: images/train # train images (relative to 'path') 1743042 images |
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val: images/val # val images (relative to 'path') 41620 images |
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test: # test images (optional) |
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# Classes |
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names: |
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0: Accordion |
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1: Adhesive tape |
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2: Aircraft |
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3: Airplane |
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4: Alarm clock |
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5: Alpaca |
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6: Ambulance |
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7: Animal |
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8: Ant |
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9: Antelope |
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10: Apple |
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11: Armadillo |
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12: Artichoke |
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13: Auto part |
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14: Axe |
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15: Backpack |
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16: Bagel |
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17: Baked goods |
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18: Balance beam |
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19: Ball |
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20: Balloon |
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21: Banana |
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22: Band-aid |
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23: Banjo |
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24: Barge |
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25: Barrel |
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26: Baseball bat |
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27: Baseball glove |
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28: Bat (Animal) |
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29: Bathroom accessory |
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30: Bathroom cabinet |
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31: Bathtub |
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32: Beaker |
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33: Bear |
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34: Bed |
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35: Bee |
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36: Beehive |
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37: Beer |
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38: Beetle |
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39: Bell pepper |
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40: Belt |
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41: Bench |
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42: Bicycle |
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43: Bicycle helmet |
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44: Bicycle wheel |
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45: Bidet |
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46: Billboard |
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47: Billiard table |
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48: Binoculars |
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49: Bird |
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50: Blender |
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51: Blue jay |
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52: Boat |
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53: Bomb |
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54: Book |
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55: Bookcase |
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56: Boot |
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57: Bottle |
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58: Bottle opener |
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59: Bow and arrow |
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60: Bowl |
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61: Bowling equipment |
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62: Box |
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63: Boy |
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64: Brassiere |
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65: Bread |
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66: Briefcase |
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67: Broccoli |
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68: Bronze sculpture |
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69: Brown bear |
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70: Building |
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71: Bull |
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72: Burrito |
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73: Bus |
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74: Bust |
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75: Butterfly |
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76: Cabbage |
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77: Cabinetry |
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78: Cake |
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79: Cake stand |
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80: Calculator |
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81: Camel |
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82: Camera |
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83: Can opener |
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84: Canary |
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85: Candle |
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86: Candy |
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87: Cannon |
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88: Canoe |
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89: Cantaloupe |
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90: Car |
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91: Carnivore |
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92: Carrot |
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93: Cart |
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94: Cassette deck |
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95: Castle |
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96: Cat |
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97: Cat furniture |
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98: Caterpillar |
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99: Cattle |
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100: Ceiling fan |
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101: Cello |
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102: Centipede |
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103: Chainsaw |
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104: Chair |
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105: Cheese |
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106: Cheetah |
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107: Chest of drawers |
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108: Chicken |
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109: Chime |
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110: Chisel |
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111: Chopsticks |
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112: Christmas tree |
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113: Clock |
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114: Closet |
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115: Clothing |
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116: Coat |
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117: Cocktail |
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118: Cocktail shaker |
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119: Coconut |
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120: Coffee |
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121: Coffee cup |
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122: Coffee table |
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123: Coffeemaker |
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124: Coin |
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125: Common fig |
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126: Common sunflower |
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127: Computer keyboard |
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128: Computer monitor |
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129: Computer mouse |
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130: Container |
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131: Convenience store |
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132: Cookie |
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133: Cooking spray |
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134: Corded phone |
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135: Cosmetics |
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136: Couch |
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137: Countertop |
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138: Cowboy hat |
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139: Crab |
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140: Cream |
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141: Cricket ball |
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142: Crocodile |
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143: Croissant |
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144: Crown |
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145: Crutch |
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146: Cucumber |
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147: Cupboard |
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148: Curtain |
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149: Cutting board |
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150: Dagger |
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151: Dairy Product |
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152: Deer |
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153: Desk |
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154: Dessert |
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155: Diaper |
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156: Dice |
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157: Digital clock |
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158: Dinosaur |
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159: Dishwasher |
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160: Dog |
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161: Dog bed |
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162: Doll |
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163: Dolphin |
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164: Door |
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165: Door handle |
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166: Doughnut |
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167: Dragonfly |
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168: Drawer |
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169: Dress |
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170: Drill (Tool) |
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171: Drink |
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172: Drinking straw |
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173: Drum |
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174: Duck |
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175: Dumbbell |
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176: Eagle |
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177: Earrings |
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178: Egg (Food) |
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179: Elephant |
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180: Envelope |
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181: Eraser |
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182: Face powder |
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183: Facial tissue holder |
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184: Falcon |
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185: Fashion accessory |
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186: Fast food |
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187: Fax |
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188: Fedora |
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189: Filing cabinet |
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190: Fire hydrant |
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191: Fireplace |
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192: Fish |
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193: Flag |
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194: Flashlight |
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195: Flower |
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196: Flowerpot |
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197: Flute |
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198: Flying disc |
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199: Food |
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200: Food processor |
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201: Football |
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202: Football helmet |
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203: Footwear |
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204: Fork |
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205: Fountain |
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206: Fox |
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207: French fries |
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208: French horn |
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209: Frog |
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210: Fruit |
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211: Frying pan |
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212: Furniture |
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213: Garden Asparagus |
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214: Gas stove |
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215: Giraffe |
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216: Girl |
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217: Glasses |
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218: Glove |
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219: Goat |
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220: Goggles |
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221: Goldfish |
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222: Golf ball |
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223: Golf cart |
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224: Gondola |
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225: Goose |
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226: Grape |
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227: Grapefruit |
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228: Grinder |
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229: Guacamole |
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230: Guitar |
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231: Hair dryer |
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232: Hair spray |
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233: Hamburger |
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234: Hammer |
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235: Hamster |
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236: Hand dryer |
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237: Handbag |
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238: Handgun |
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239: Harbor seal |
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240: Harmonica |
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241: Harp |
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242: Harpsichord |
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243: Hat |
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244: Headphones |
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245: Heater |
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246: Hedgehog |
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247: Helicopter |
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248: Helmet |
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249: High heels |
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250: Hiking equipment |
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251: Hippopotamus |
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252: Home appliance |
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253: Honeycomb |
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254: Horizontal bar |
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255: Horse |
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256: Hot dog |
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257: House |
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258: Houseplant |
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259: Human arm |
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260: Human beard |
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261: Human body |
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262: Human ear |
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263: Human eye |
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264: Human face |
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265: Human foot |
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266: Human hair |
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267: Human hand |
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268: Human head |
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269: Human leg |
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270: Human mouth |
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271: Human nose |
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272: Humidifier |
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273: Ice cream |
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274: Indoor rower |
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275: Infant bed |
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276: Insect |
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277: Invertebrate |
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278: Ipod |
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279: Isopod |
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280: Jacket |
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281: Jacuzzi |
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282: Jaguar (Animal) |
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283: Jeans |
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284: Jellyfish |
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285: Jet ski |
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286: Jug |
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287: Juice |
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288: Kangaroo |
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289: Kettle |
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290: Kitchen & dining room table |
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291: Kitchen appliance |
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292: Kitchen knife |
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293: Kitchen utensil |
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294: Kitchenware |
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295: Kite |
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296: Knife |
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297: Koala |
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298: Ladder |
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299: Ladle |
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300: Ladybug |
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301: Lamp |
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302: Land vehicle |
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303: Lantern |
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304: Laptop |
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305: Lavender (Plant) |
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306: Lemon |
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307: Leopard |
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308: Light bulb |
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309: Light switch |
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310: Lighthouse |
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311: Lily |
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312: Limousine |
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313: Lion |
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314: Lipstick |
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315: Lizard |
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316: Lobster |
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317: Loveseat |
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318: Luggage and bags |
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319: Lynx |
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320: Magpie |
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321: Mammal |
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322: Man |
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323: Mango |
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324: Maple |
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325: Maracas |
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326: Marine invertebrates |
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327: Marine mammal |
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328: Measuring cup |
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329: Mechanical fan |
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330: Medical equipment |
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331: Microphone |
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332: Microwave oven |
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333: Milk |
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334: Miniskirt |
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335: Mirror |
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336: Missile |
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337: Mixer |
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338: Mixing bowl |
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339: Mobile phone |
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340: Monkey |
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341: Moths and butterflies |
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342: Motorcycle |
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343: Mouse |
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344: Muffin |
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345: Mug |
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346: Mule |
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347: Mushroom |
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348: Musical instrument |
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349: Musical keyboard |
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350: Nail (Construction) |
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351: Necklace |
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352: Nightstand |
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353: Oboe |
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354: Office building |
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355: Office supplies |
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356: Orange |
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357: Organ (Musical Instrument) |
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358: Ostrich |
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359: Otter |
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360: Oven |
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361: Owl |
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362: Oyster |
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363: Paddle |
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364: Palm tree |
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365: Pancake |
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366: Panda |
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367: Paper cutter |
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368: Paper towel |
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369: Parachute |
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370: Parking meter |
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371: Parrot |
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372: Pasta |
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373: Pastry |
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374: Peach |
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375: Pear |
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376: Pen |
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377: Pencil case |
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378: Pencil sharpener |
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379: Penguin |
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380: Perfume |
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381: Person |
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382: Personal care |
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383: Personal flotation device |
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384: Piano |
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385: Picnic basket |
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386: Picture frame |
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387: Pig |
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388: Pillow |
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389: Pineapple |
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390: Pitcher (Container) |
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391: Pizza |
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392: Pizza cutter |
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393: Plant |
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394: Plastic bag |
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395: Plate |
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396: Platter |
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397: Plumbing fixture |
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398: Polar bear |
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399: Pomegranate |
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400: Popcorn |
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401: Porch |
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402: Porcupine |
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403: Poster |
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404: Potato |
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405: Power plugs and sockets |
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406: Pressure cooker |
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407: Pretzel |
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408: Printer |
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409: Pumpkin |
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410: Punching bag |
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411: Rabbit |
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412: Raccoon |
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413: Racket |
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414: Radish |
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415: Ratchet (Device) |
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416: Raven |
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417: Rays and skates |
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418: Red panda |
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419: Refrigerator |
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420: Remote control |
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421: Reptile |
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422: Rhinoceros |
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423: Rifle |
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424: Ring binder |
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425: Rocket |
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426: Roller skates |
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427: Rose |
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428: Rugby ball |
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429: Ruler |
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430: Salad |
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431: Salt and pepper shakers |
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432: Sandal |
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433: Sandwich |
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434: Saucer |
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435: Saxophone |
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436: Scale |
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437: Scarf |
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438: Scissors |
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439: Scoreboard |
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440: Scorpion |
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441: Screwdriver |
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442: Sculpture |
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443: Sea lion |
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444: Sea turtle |
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445: Seafood |
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446: Seahorse |
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447: Seat belt |
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448: Segway |
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449: Serving tray |
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450: Sewing machine |
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451: Shark |
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452: Sheep |
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453: Shelf |
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454: Shellfish |
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455: Shirt |
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456: Shorts |
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457: Shotgun |
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458: Shower |
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459: Shrimp |
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460: Sink |
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461: Skateboard |
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462: Ski |
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463: Skirt |
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464: Skull |
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465: Skunk |
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466: Skyscraper |
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467: Slow cooker |
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468: Snack |
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469: Snail |
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470: Snake |
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471: Snowboard |
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472: Snowman |
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473: Snowmobile |
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474: Snowplow |
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475: Soap dispenser |
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476: Sock |
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477: Sofa bed |
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478: Sombrero |
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479: Sparrow |
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480: Spatula |
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481: Spice rack |
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482: Spider |
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483: Spoon |
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484: Sports equipment |
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485: Sports uniform |
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486: Squash (Plant) |
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487: Squid |
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488: Squirrel |
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489: Stairs |
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490: Stapler |
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491: Starfish |
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492: Stationary bicycle |
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493: Stethoscope |
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494: Stool |
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495: Stop sign |
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496: Strawberry |
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497: Street light |
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498: Stretcher |
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499: Studio couch |
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500: Submarine |
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501: Submarine sandwich |
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502: Suit |
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503: Suitcase |
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504: Sun hat |
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505: Sunglasses |
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506: Surfboard |
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507: Sushi |
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508: Swan |
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509: Swim cap |
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510: Swimming pool |
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511: Swimwear |
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512: Sword |
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513: Syringe |
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514: Table |
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515: Table tennis racket |
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516: Tablet computer |
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517: Tableware |
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518: Taco |
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519: Tank |
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520: Tap |
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521: Tart |
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522: Taxi |
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523: Tea |
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524: Teapot |
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525: Teddy bear |
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526: Telephone |
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527: Television |
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528: Tennis ball |
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529: Tennis racket |
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530: Tent |
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531: Tiara |
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532: Tick |
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533: Tie |
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534: Tiger |
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535: Tin can |
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536: Tire |
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537: Toaster |
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538: Toilet |
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539: Toilet paper |
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540: Tomato |
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541: Tool |
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542: Toothbrush |
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543: Torch |
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544: Tortoise |
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545: Towel |
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546: Tower |
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547: Toy |
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548: Traffic light |
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549: Traffic sign |
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550: Train |
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551: Training bench |
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552: Treadmill |
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553: Tree |
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554: Tree house |
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555: Tripod |
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556: Trombone |
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557: Trousers |
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558: Truck |
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559: Trumpet |
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560: Turkey |
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561: Turtle |
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562: Umbrella |
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563: Unicycle |
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564: Van |
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565: Vase |
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566: Vegetable |
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567: Vehicle |
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568: Vehicle registration plate |
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569: Violin |
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570: Volleyball (Ball) |
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571: Waffle |
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572: Waffle iron |
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573: Wall clock |
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574: Wardrobe |
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575: Washing machine |
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576: Waste container |
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577: Watch |
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578: Watercraft |
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579: Watermelon |
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580: Weapon |
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581: Whale |
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582: Wheel |
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583: Wheelchair |
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584: Whisk |
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585: Whiteboard |
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586: Willow |
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587: Window |
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588: Window blind |
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589: Wine |
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590: Wine glass |
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591: Wine rack |
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592: Winter melon |
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593: Wok |
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594: Woman |
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595: Wood-burning stove |
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596: Woodpecker |
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597: Worm |
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598: Wrench |
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599: Zebra |
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600: Zucchini |
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# Download script/URL (optional) --------------------------------------------------------------------------------------- |
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download: | |
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from ultralytics.utils import LOGGER, SETTINGS, Path, is_ubuntu, get_ubuntu_version |
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from ultralytics.utils.checks import check_requirements, check_version |
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check_requirements('fiftyone') |
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if is_ubuntu() and check_version(get_ubuntu_version(), '>=22.04'): |
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# Ubuntu>=22.04 patch https://github.com/voxel51/fiftyone/issues/2961#issuecomment-1666519347 |
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check_requirements('fiftyone-db-ubuntu2204') |
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import fiftyone as fo |
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import fiftyone.zoo as foz |
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import warnings |
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name = 'open-images-v7' |
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fraction = 1.0 # fraction of full dataset to use |
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LOGGER.warning('WARNING ⚠️ Open Images V7 dataset requires at least **561 GB of free space. Starting download...') |
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for split in 'train', 'validation': # 1743042 train, 41620 val images |
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train = split == 'train' |
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# Load Open Images dataset |
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dataset = foz.load_zoo_dataset(name, |
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split=split, |
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label_types=['detections'], |
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dataset_dir=Path(SETTINGS['datasets_dir']) / 'fiftyone' / name, |
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max_samples=round((1743042 if train else 41620) * fraction)) |
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# Define classes |
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if train: |
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classes = dataset.default_classes # all classes |
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# classes = dataset.distinct('ground_truth.detections.label') # only observed classes |
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# Export to YOLO format |
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with warnings.catch_warnings(): |
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warnings.filterwarnings("ignore", category=UserWarning, module="fiftyone.utils.yolo") |
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dataset.export(export_dir=str(Path(SETTINGS['datasets_dir']) / name), |
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dataset_type=fo.types.YOLOv5Dataset, |
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label_field='ground_truth', |
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split='val' if split == 'validation' else split, |
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classes=classes, |
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overwrite=train)
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