# Ultralytics YOLO 🚀, AGPL-3.0 license
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# Site metadata
site_name : Ultralytics YOLO Docs
site_description : Explore Ultralytics YOLO, a cutting-edge real-time object detection and image segmentation model for various applications and hardware platforms.
site_url : https://docs.ultralytics.com
site_author : Ultralytics
repo_url : https://github.com/ultralytics/ultralytics
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repo_name : ultralytics/ultralytics
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# Customization
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# Primary navigation ---------------------------------------------------------------------------------------------------
nav :
- Home :
- Home : index.md
- Quickstart : quickstart.md
- Modes :
- modes/index.md
- Train : modes/train.md
- Val : modes/val.md
- Predict : modes/predict.md
- Export : modes/export.md
- Track : modes/track.md
- Benchmark : modes/benchmark.md
- Tasks :
- tasks/index.md
- Detect : tasks/detect.md
- Segment : tasks/segment.md
- Classify : tasks/classify.md
- Pose : tasks/pose.md
- OBB : tasks/obb.md
- Models :
- models/index.md
- Datasets :
- datasets/index.md
- Solutions :
- solutions/index.md
- Guides :
- guides/index.md
- Explorer :
- datasets/explorer/index.md
- NEW 🚀 Live Inference : guides/streamlit-live-inference.md # for promotion of new pages
- Languages :
- 🇬🇧  English : https://ultralytics.com/docs/
- 🇨🇳  简体中文 : https://docs.ultralytics.com/zh/
- 🇰🇷  한국어 : https://docs.ultralytics.com/ko/
- 🇯🇵  日本語 : https://docs.ultralytics.com/ja/
- 🇷🇺  Русский : https://docs.ultralytics.com/ru/
- 🇩🇪  Deutsch : https://docs.ultralytics.com/de/
- 🇫🇷  Français : https://docs.ultralytics.com/fr/
- 🇪🇸  Español : https://docs.ultralytics.com/es/
- 🇵🇹  Português : https://docs.ultralytics.com/pt/
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- 🇻🇳  Tiếng Việt : https://docs.ultralytics.com/vi/
- 🇮🇳  हि न् दी : https://docs.ultralytics.com/hi/
- 🇸🇦  العربية : https://docs.ultralytics.com/ar/
- Quickstart :
- quickstart.md
- Usage :
- CLI : usage/cli.md
- Python : usage/python.md
- Callbacks : usage/callbacks.md
- Configuration : usage/cfg.md
- Simple Utilities : usage/simple-utilities.md
- Advanced Customization : usage/engine.md
- Modes :
- modes/index.md
- Train : modes/train.md
- Val : modes/val.md
- Predict : modes/predict.md
- Export : modes/export.md
- Track : modes/track.md
- Benchmark : modes/benchmark.md
- Tasks :
- tasks/index.md
- Detect : tasks/detect.md
- Segment : tasks/segment.md
- Classify : tasks/classify.md
- Pose : tasks/pose.md
- OBB : tasks/obb.md
- Models :
- models/index.md
- Datasets :
- datasets/index.md
- Solutions :
- solutions/index.md
- Guides :
- guides/index.md
- Explorer :
- datasets/explorer/index.md
- Modes :
- modes/index.md
- Train : modes/train.md
- Val : modes/val.md
- Predict : modes/predict.md
- Export : modes/export.md
- Track : modes/track.md
- Benchmark : modes/benchmark.md
- Tasks :
- tasks/index.md
- Detect : tasks/detect.md
- Segment : tasks/segment.md
- Classify : tasks/classify.md
- Pose : tasks/pose.md
- OBB : tasks/obb.md
- Models :
- models/index.md
- YOLOv3 : models/yolov3.md
- YOLOv4 : models/yolov4.md
- YOLOv5 : models/yolov5.md
- YOLOv6 : models/yolov6.md
- YOLOv7 : models/yolov7.md
- YOLOv8 : models/yolov8.md
- YOLOv9 : models/yolov9.md
- YOLOv10 : models/yolov10.md
- SAM (Segment Anything Model) : models/sam.md
- MobileSAM (Mobile Segment Anything Model) : models/mobile-sam.md
- FastSAM (Fast Segment Anything Model) : models/fast-sam.md
- YOLO-NAS (Neural Architecture Search) : models/yolo-nas.md
- RT-DETR (Realtime Detection Transformer) : models/rtdetr.md
- YOLO-World (Real-Time Open-Vocabulary Object Detection) : models/yolo-world.md
- Datasets :
- datasets/index.md
- Explorer :
- datasets/explorer/index.md
- Explorer API : datasets/explorer/api.md
- Explorer Dashboard : datasets/explorer/dashboard.md
- VOC Exploration Example : datasets/explorer/explorer.ipynb
- Detection :
- datasets/detect/index.md
- Argoverse : datasets/detect/argoverse.md
- COCO : datasets/detect/coco.md
- LVIS : datasets/detect/lvis.md
- COCO8 : datasets/detect/coco8.md
- GlobalWheat2020 : datasets/detect/globalwheat2020.md
- Objects365 : datasets/detect/objects365.md
- OpenImagesV7 : datasets/detect/open-images-v7.md
- SKU-110K : datasets/detect/sku-110k.md
- VisDrone : datasets/detect/visdrone.md
- VOC : datasets/detect/voc.md
- xView : datasets/detect/xview.md
- Roboflow 100 : datasets/detect/roboflow-100.md
- Brain-tumor : datasets/detect/brain-tumor.md
- African-wildlife : datasets/detect/african-wildlife.md
- Signature : datasets/detect/signature.md
- Segmentation :
- datasets/segment/index.md
- COCO : datasets/segment/coco.md
- COCO8-seg : datasets/segment/coco8-seg.md
- Crack-seg : datasets/segment/crack-seg.md
- Carparts-seg : datasets/segment/carparts-seg.md
- Package-seg : datasets/segment/package-seg.md
- Pose :
- datasets/pose/index.md
- COCO : datasets/pose/coco.md
- COCO8-pose : datasets/pose/coco8-pose.md
- Tiger-pose : datasets/pose/tiger-pose.md
- Classification :
- datasets/classify/index.md
- Caltech 101 : datasets/classify/caltech101.md
- Caltech 256 : datasets/classify/caltech256.md
- CIFAR-10 : datasets/classify/cifar10.md
- CIFAR-100 : datasets/classify/cifar100.md
- Fashion-MNIST : datasets/classify/fashion-mnist.md
- ImageNet : datasets/classify/imagenet.md
- ImageNet-10 : datasets/classify/imagenet10.md
- Imagenette : datasets/classify/imagenette.md
- Imagewoof : datasets/classify/imagewoof.md
- MNIST : datasets/classify/mnist.md
- Oriented Bounding Boxes (OBB) :
- datasets/obb/index.md
- DOTAv2 : datasets/obb/dota-v2.md
- DOTA8 : datasets/obb/dota8.md
- Multi-Object Tracking :
- datasets/track/index.md
- NEW 🚀 Solutions :
- solutions/index.md
- Analytics : guides/analytics.md
- Object Counting : guides/object-counting.md
- Object Cropping : guides/object-cropping.md
- Object Blurring : guides/object-blurring.md
- Workouts Monitoring : guides/workouts-monitoring.md
- Objects Counting in Regions : guides/region-counting.md
- Security Alarm System : guides/security-alarm-system.md
- Heatmaps : guides/heatmaps.md
- Instance Segmentation with Object Tracking : guides/instance-segmentation-and-tracking.md
- VisionEye Mapping : guides/vision-eye.md
- Speed Estimation : guides/speed-estimation.md
- Distance Calculation : guides/distance-calculation.md
- Queue Management : guides/queue-management.md
- Parking Management : guides/parking-management.md
- NEW 🚀 Live Inference : guides/streamlit-live-inference.md
- Guides :
- guides/index.md
- YOLO Common Issues : guides/yolo-common-issues.md
- YOLO Performance Metrics : guides/yolo-performance-metrics.md
- YOLO Thread-Safe Inference : guides/yolo-thread-safe-inference.md
- Model Deployment Options : guides/model-deployment-options.md
- K-Fold Cross Validation : guides/kfold-cross-validation.md
- Hyperparameter Tuning : guides/hyperparameter-tuning.md
- SAHI Tiled Inference : guides/sahi-tiled-inference.md
- AzureML Quickstart : guides/azureml-quickstart.md
- Conda Quickstart : guides/conda-quickstart.md
- Docker Quickstart : guides/docker-quickstart.md
- Raspberry Pi : guides/raspberry-pi.md
- NVIDIA Jetson : guides/nvidia-jetson.md
- DeepStream on NVIDIA Jetson : guides/deepstream-nvidia-jetson.md
- Triton Inference Server : guides/triton-inference-server.md
- Isolating Segmentation Objects : guides/isolating-segmentation-objects.md
- Edge TPU on Raspberry Pi : guides/coral-edge-tpu-on-raspberry-pi.md
- Viewing Inference Images in a Terminal : guides/view-results-in-terminal.md
- OpenVINO Latency vs Throughput modes : guides/optimizing-openvino-latency-vs-throughput-modes.md
- ROS Quickstart : guides/ros-quickstart.md
- Steps of a Computer Vision Project : guides/steps-of-a-cv-project.md
- Defining A Computer Vision Project's Goals : guides/defining-project-goals.md
- Data Collection and Annotation : guides/data-collection-and-annotation.md
- Preprocessing Annotated Data : guides/preprocessing_annotated_data.md
- Tips for Model Training : guides/model-training-tips.md
- Insights on Model Evaluation and Fine-Tuning : guides/model-evaluation-insights.md
- A Guide on Model Testing : guides/model-testing.md
- Best Practices for Model Deployment : guides/model-deployment-practices.md
- Maintaining Your Computer Vision Model : guides/model-monitoring-and-maintenance.md
- Explorer :
- datasets/explorer/index.md
- Explorer API : datasets/explorer/api.md
- Explorer Dashboard Demo : datasets/explorer/dashboard.md
- VOC Exploration Example : datasets/explorer/explorer.ipynb
- YOLOv5 :
- yolov5/index.md
- Quickstart : yolov5/quickstart_tutorial.md
- Environments :
- Amazon Web Services (AWS) : yolov5/environments/aws_quickstart_tutorial.md
- Google Cloud (GCP) : yolov5/environments/google_cloud_quickstart_tutorial.md
- AzureML : yolov5/environments/azureml_quickstart_tutorial.md
- Docker Image : yolov5/environments/docker_image_quickstart_tutorial.md
- Tutorials :
- Train Custom Data : yolov5/tutorials/train_custom_data.md
- Tips for Best Training Results : yolov5/tutorials/tips_for_best_training_results.md
- Multi-GPU Training : yolov5/tutorials/multi_gpu_training.md
- PyTorch Hub : yolov5/tutorials/pytorch_hub_model_loading.md
- TFLite, ONNX, CoreML, TensorRT Export : yolov5/tutorials/model_export.md
- Test-Time Augmentation (TTA) : yolov5/tutorials/test_time_augmentation.md
- Model Ensembling : yolov5/tutorials/model_ensembling.md
- Pruning/Sparsity Tutorial : yolov5/tutorials/model_pruning_and_sparsity.md
- Hyperparameter evolution : yolov5/tutorials/hyperparameter_evolution.md
- Transfer learning with frozen layers : yolov5/tutorials/transfer_learning_with_frozen_layers.md
- Architecture Summary : yolov5/tutorials/architecture_description.md
- Roboflow Datasets : yolov5/tutorials/roboflow_datasets_integration.md
- Neural Magic's DeepSparse : yolov5/tutorials/neural_magic_pruning_quantization.md
- Comet Logging : yolov5/tutorials/comet_logging_integration.md
- Clearml Logging : yolov5/tutorials/clearml_logging_integration.md
- Integrations :
- integrations/index.md
- TorchScript : integrations/torchscript.md
- ONNX : integrations/onnx.md
- OpenVINO : integrations/openvino.md
- TensorRT : integrations/tensorrt.md
- CoreML : integrations/coreml.md
- TF SavedModel : integrations/tf-savedmodel.md
- TF GraphDef : integrations/tf-graphdef.md
- TFLite : integrations/tflite.md
- TFLite Edge TPU : integrations/edge-tpu.md
- TF.js : integrations/tfjs.md
- PaddlePaddle : integrations/paddlepaddle.md
- NCNN : integrations/ncnn.md
- Comet ML : integrations/comet.md
- Ray Tune : integrations/ray-tune.md
- Roboflow : integrations/roboflow.md
- MLflow : integrations/mlflow.md
- ClearML : integrations/clearml.md
- DVC : integrations/dvc.md
- Weights & Biases : integrations/weights-biases.md
- Neural Magic : integrations/neural-magic.md
- Gradio : integrations/gradio.md
- TensorBoard : integrations/tensorboard.md
- Amazon SageMaker : integrations/amazon-sagemaker.md
- Paperspace Gradient : integrations/paperspace.md
- Google Colab : integrations/google-colab.md
- Kaggle : integrations/kaggle.md
- HUB :
- hub/index.md
- Web :
- hub/index.md
- Quickstart : hub/quickstart.md
- Datasets : hub/datasets.md
- Projects : hub/projects.md
- Models : hub/models.md
- Pro : hub/pro.md
- Cloud Training : hub/cloud-training.md
- Inference API : hub/inference-api.md
- Teams : hub/teams.md
- Integrations : hub/integrations.md
- App :
- hub/app/index.md
- iOS : hub/app/ios.md
- Android : hub/app/android.md
- Python SDK :
- hub/sdk/index.md
- Quickstart : hub/sdk/quickstart.md
- Model : hub/sdk/model.md
- Dataset : hub/sdk/dataset.md
- Project : hub/sdk/project.md
- Reference :
- base :
- api_client : hub/sdk/reference/base/api_client.md
- auth : hub/sdk/reference/base/auth.md
- crud_client : hub/sdk/reference/base/crud_client.md
- paginated_list : hub/sdk/reference/base/paginated_list.md
- server_clients : hub/sdk/reference/base/server_clients.md
- helpers :
- error_handler : hub/sdk/reference/helpers/error_handler.md
- exceptions : hub/sdk/reference/helpers/exceptions.md
- logger : hub/sdk/reference/helpers/logger.md
- utils : hub/sdk/reference/helpers/utils.md
- hub_client : hub/sdk/reference/hub_client.md
- modules :
- datasets : hub/sdk/reference/modules/datasets.md
- models : hub/sdk/reference/modules/models.md
- projects : hub/sdk/reference/modules/projects.md
- teams : hub/sdk/reference/modules/teams.md
- users : hub/sdk/reference/modules/users.md
- REST API :
- hub/api/index.md
- Reference :
- cfg :
- __init__ : reference/cfg/__init__.md
- data :
- annotator : reference/data/annotator.md
- augment : reference/data/augment.md
- base : reference/data/base.md
- build : reference/data/build.md
- converter : reference/data/converter.md
- dataset : reference/data/dataset.md
- explorer :
- explorer : reference/data/explorer/explorer.md
- gui :
- dash : reference/data/explorer/gui/dash.md
- utils : reference/data/explorer/utils.md
- loaders : reference/data/loaders.md
- split_dota : reference/data/split_dota.md
- utils : reference/data/utils.md
- engine :
- exporter : reference/engine/exporter.md
- model : reference/engine/model.md
- predictor : reference/engine/predictor.md
- results : reference/engine/results.md
- trainer : reference/engine/trainer.md
- tuner : reference/engine/tuner.md
- validator : reference/engine/validator.md
- hub :
- __init__ : reference/hub/__init__.md
- auth : reference/hub/auth.md
- session : reference/hub/session.md
- utils : reference/hub/utils.md
- models :
- fastsam :
- model : reference/models/fastsam/model.md
- predict : reference/models/fastsam/predict.md
- prompt : reference/models/fastsam/prompt.md
- utils : reference/models/fastsam/utils.md
- val : reference/models/fastsam/val.md
- nas :
- model : reference/models/nas/model.md
- predict : reference/models/nas/predict.md
- val : reference/models/nas/val.md
- rtdetr :
- model : reference/models/rtdetr/model.md
- predict : reference/models/rtdetr/predict.md
- train : reference/models/rtdetr/train.md
- val : reference/models/rtdetr/val.md
- sam :
- amg : reference/models/sam/amg.md
- build : reference/models/sam/build.md
- model : reference/models/sam/model.md
- modules :
- decoders : reference/models/sam/modules/decoders.md
- encoders : reference/models/sam/modules/encoders.md
- sam : reference/models/sam/modules/sam.md
- tiny_encoder : reference/models/sam/modules/tiny_encoder.md
- transformer : reference/models/sam/modules/transformer.md
- predict : reference/models/sam/predict.md
- utils :
- loss : reference/models/utils/loss.md
- ops : reference/models/utils/ops.md
- yolo :
- classify :
- predict : reference/models/yolo/classify/predict.md
- train : reference/models/yolo/classify/train.md
- val : reference/models/yolo/classify/val.md
- detect :
- predict : reference/models/yolo/detect/predict.md
- train : reference/models/yolo/detect/train.md
- val : reference/models/yolo/detect/val.md
- model : reference/models/yolo/model.md
- obb :
- predict : reference/models/yolo/obb/predict.md
- train : reference/models/yolo/obb/train.md
- val : reference/models/yolo/obb/val.md
- pose :
- predict : reference/models/yolo/pose/predict.md
- train : reference/models/yolo/pose/train.md
- val : reference/models/yolo/pose/val.md
- segment :
- predict : reference/models/yolo/segment/predict.md
- train : reference/models/yolo/segment/train.md
- val : reference/models/yolo/segment/val.md
- world :
- train : reference/models/yolo/world/train.md
- train_world : reference/models/yolo/world/train_world.md
- nn :
- autobackend : reference/nn/autobackend.md
- modules :
- activation : reference/nn/modules/activation.md
- block : reference/nn/modules/block.md
- conv : reference/nn/modules/conv.md
- head : reference/nn/modules/head.md
- transformer : reference/nn/modules/transformer.md
- utils : reference/nn/modules/utils.md
- tasks : reference/nn/tasks.md
- solutions :
- ai_gym : reference/solutions/ai_gym.md
- analytics : reference/solutions/analytics.md
- distance_calculation : reference/solutions/distance_calculation.md
- heatmap : reference/solutions/heatmap.md
- object_counter : reference/solutions/object_counter.md
- parking_management : reference/solutions/parking_management.md
- queue_management : reference/solutions/queue_management.md
- speed_estimation : reference/solutions/speed_estimation.md
- streamlit_inference : reference/solutions/streamlit_inference.md
- trackers :
- basetrack : reference/trackers/basetrack.md
- bot_sort : reference/trackers/bot_sort.md
- byte_tracker : reference/trackers/byte_tracker.md
- track : reference/trackers/track.md
- utils :
- gmc : reference/trackers/utils/gmc.md
- kalman_filter : reference/trackers/utils/kalman_filter.md
- matching : reference/trackers/utils/matching.md
- utils :
- __init__ : reference/utils/__init__.md
- autobatch : reference/utils/autobatch.md
- benchmarks : reference/utils/benchmarks.md
- callbacks :
- base : reference/utils/callbacks/base.md
- clearml : reference/utils/callbacks/clearml.md
- comet : reference/utils/callbacks/comet.md
- dvc : reference/utils/callbacks/dvc.md
- hub : reference/utils/callbacks/hub.md
- mlflow : reference/utils/callbacks/mlflow.md
- neptune : reference/utils/callbacks/neptune.md
- raytune : reference/utils/callbacks/raytune.md
- tensorboard : reference/utils/callbacks/tensorboard.md
- wb : reference/utils/callbacks/wb.md
- checks : reference/utils/checks.md
- dist : reference/utils/dist.md
- downloads : reference/utils/downloads.md
- errors : reference/utils/errors.md
- files : reference/utils/files.md
- instance : reference/utils/instance.md
- loss : reference/utils/loss.md
- metrics : reference/utils/metrics.md
- ops : reference/utils/ops.md
- patches : reference/utils/patches.md
- plotting : reference/utils/plotting.md
- tal : reference/utils/tal.md
- torch_utils : reference/utils/torch_utils.md
- triton : reference/utils/triton.md
- tuner : reference/utils/tuner.md
- Help :
- Help : help/index.md
- Frequently Asked Questions (FAQ) : help/FAQ.md
- Contributing Guide : help/contributing.md
- Continuous Integration (CI) Guide : help/CI.md
- Contributor License Agreement (CLA) : help/CLA.md
- Minimum Reproducible Example (MRE) Guide : help/minimum_reproducible_example.md
- Code of Conduct : help/code_of_conduct.md
- Environmental, Health and Safety (EHS) Policy : help/environmental-health-safety.md
- Security Policy : help/security.md
- Privacy Policy : help/privacy.md
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