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# Ultralytics YOLO 🚀, AGPL-3.0 license
site_name: Ultralytics YOLOv8 Docs
site_url: https://docs.ultralytics.com
site_description: Explore Ultralytics YOLOv8, a cutting-edge real-time object detection and image segmentation model for various applications and hardware platforms.
site_author: Ultralytics
repo_url: https://github.com/ultralytics/ultralytics
edit_uri: https://github.com/ultralytics/ultralytics/tree/main/docs
repo_name: ultralytics/ultralytics
remote_name: https://github.com/ultralytics/docs
theme:
name: material
custom_dir: docs/overrides
logo: https://github.com/ultralytics/assets/raw/main/logo/Ultralytics_Logotype_Reverse.svg
favicon: assets/favicon.ico
icon:
repo: fontawesome/brands/github
font:
text: Helvetica
code: Roboto Mono
palette:
# Palette toggle for light mode
- scheme: default
# primary: grey
toggle:
icon: material/brightness-7
name: Switch to dark mode
# Palette toggle for dark mode
- scheme: slate
# primary: black
toggle:
icon: material/brightness-4
name: Switch to light mode
features:
- announce.dismiss
- content.action.edit
- content.code.annotate
- content.code.copy
- content.tooltips
- search.highlight
- search.share
- search.suggest
- toc.follow
- toc.integrate
- navigation.top
- navigation.tabs
- navigation.tabs.sticky
- navigation.expand
- navigation.footer
- navigation.tracking
- navigation.instant
- navigation.indexes
- content.tabs.link # all code tabs change simultaneously
# Customization
copyright: <a href="https://ultralytics.com" target="_blank">© 2023 Ultralytics Inc.</a> All rights reserved.
extra:
# version:
# provider: mike # version drop-down menu
robots: robots.txt
analytics:
provider: google
property: G-2M5EHKC0BH
# feedback:
# title: Was this page helpful?
# ratings:
# - icon: material/heart
# name: This page was helpful
# data: 1
# note: Thanks for your feedback!
# - icon: material/heart-broken
# name: This page could be improved
# data: 0
# note: >-
# Thanks for your feedback!<br>
# <a href="https://github.com/ultralytics/ultralytics/issues/new?title=Docs+Feedback+for+{title}+page+at+https://docs.ultralytics.com/{url}&labels=enhancement&template=feature-request.yml" target="_blank" rel="noopener">Tell us what we can improve.</a>
social:
- icon: fontawesome/brands/github
link: https://github.com/ultralytics
- icon: fontawesome/brands/linkedin
link: https://www.linkedin.com/company/ultralytics/
- icon: fontawesome/brands/twitter
link: https://twitter.com/ultralytics
- icon: fontawesome/brands/youtube
link: https://www.youtube.com/ultralytics
- icon: fontawesome/brands/docker
link: https://hub.docker.com/r/ultralytics/ultralytics/
- icon: fontawesome/brands/python
link: https://pypi.org/project/ultralytics/
- icon: fontawesome/brands/discord
link: https://ultralytics.com/discord
extra_css:
- stylesheets/style.css
- https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css
markdown_extensions:
# Div text decorators
- admonition
- md_in_html
- pymdownx.details
- pymdownx.superfences
- tables
- attr_list
- def_list
# Syntax highlight
- pymdownx.highlight:
anchor_linenums: true
- pymdownx.inlinehilite
- pymdownx.snippets:
base_path: ./
- pymdownx.emoji:
emoji_index: !!python/name:materialx.emoji.twemoji # noqa
emoji_generator: !!python/name:materialx.emoji.to_svg
- pymdownx.tabbed:
alternate_style: true
# Highlight
- pymdownx.critic
- pymdownx.caret
- pymdownx.keys
- pymdownx.mark
- pymdownx.tilde
# 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
- 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
- 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
- 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
- Datasets:
- datasets/index.md
- Detection:
- datasets/detect/index.md
- Argoverse: datasets/detect/argoverse.md
- COCO: datasets/detect/coco.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
- Segmentation:
- datasets/segment/index.md
- COCO: datasets/segment/coco.md
- COCO8-seg: datasets/segment/coco8-seg.md
- Pose:
- datasets/pose/index.md
- COCO: datasets/pose/coco.md
- COCO8-pose: datasets/pose/coco8-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
- Multi-Object Tracking:
- datasets/track/index.md
- Guides:
- guides/index.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
- Integrations:
- integrations/index.md
- OpenVINO: integrations/openvino.md
- Ray Tune: integrations/ray-tune.md
- Roboflow: integrations/roboflow.md
- Usage:
- CLI: usage/cli.md
- Python: usage/python.md
- Callbacks: usage/callbacks.md
- Configuration: usage/cfg.md
- Advanced Customization: usage/engine.md
- 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
- NVIDIA Jetson Nano Deployment: yolov5/tutorials/running_on_jetson_nano.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
- Ultralytics HUB:
- hub/index.md
- Quickstart: hub/quickstart.md
- Datasets: hub/datasets.md
- Projects: hub/projects.md
- Models: hub/models.md
- Integrations: hub/integrations.md
- Ultralytics HUB App:
- hub/app/index.md
- 'iOS': hub/app/ios.md
- 'Android': hub/app/android.md
- Inference API: hub/inference_api.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
- loaders: reference/data/loaders.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
- 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
- nn:
- autobackend: reference/nn/autobackend.md
- modules:
- 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
- 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
- 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: SECURITY.md
# Plugins including 301 redirects navigation ---------------------------------------------------------------------------
plugins:
- search
- mkdocstrings:
enabled: true
default_handler: python
handlers:
python:
options:
docstring_style: google
show_root_heading: true
show_source: true
- ultralytics:
add_desc: False
add_image: True
add_share_buttons: True
default_image: https://github.com/ultralytics/ultralytics/assets/26833433/6d09221c-c52a-4234-9a5d-b862e93c6529
- redirects:
redirect_maps:
callbacks.md: usage/callbacks.md
cfg.md: usage/cfg.md
cli.md: usage/cli.md
config.md: usage/cfg.md
engine.md: usage/engine.md
environments/AWS-Quickstart.md: yolov5/environments/aws_quickstart_tutorial.md
environments/Docker-Quickstart.md: yolov5/environments/docker_image_quickstart_tutorial.md
environments/GCP-Quickstart.md: yolov5/environments/google_cloud_quickstart_tutorial.md
FAQ/augmentation.md: yolov5/tutorials/tips_for_best_training_results.md
package-framework.md: index.md
package-framework/mock_detector.md: index.md
predict.md: modes/predict.md
python.md: usage/python.md
quick-start.md: quickstart.md
app.md: hub/app/index.md
sdk.md: index.md
usage/hyperparameter_tuning.md: integrations/ray-tune.md
reference/base_pred.md: reference/engine/predictor.md
reference/base_trainer.md: reference/engine/trainer.md
reference/exporter.md: reference/engine/exporter.md
reference/model.md: reference/engine/model.md
reference/nn.md: reference/nn/modules/head.md
reference/ops.md: reference/utils/ops.md
reference/results.md: reference/engine/results.md
reference/base_val.md: index.md
tasks/classification.md: tasks/classify.md
tasks/detection.md: tasks/detect.md
tasks/segmentation.md: tasks/segment.md
tasks/keypoints.md: tasks/pose.md
tasks/tracking.md: modes/track.md
tutorials/architecture-summary.md: yolov5/tutorials/architecture_description.md
tutorials/clearml-logging.md: yolov5/tutorials/clearml_logging_integration.md
tutorials/comet-logging.md: yolov5/tutorials/comet_logging_integration.md
tutorials/hyperparameter-evolution.md: yolov5/tutorials/hyperparameter_evolution.md
tutorials/model-ensembling.md: yolov5/tutorials/model_ensembling.md
tutorials/multi-gpu-training.md: yolov5/tutorials/multi_gpu_training.md
tutorials/nvidia-jetson.md: yolov5/tutorials/running_on_jetson_nano.md
tutorials/pruning-sparsity.md: yolov5/tutorials/model_pruning_and_sparsity.md
tutorials/pytorch-hub.md: yolov5/tutorials/pytorch_hub_model_loading.md
tutorials/roboflow.md: yolov5/tutorials/roboflow_datasets_integration.md
tutorials/test-time-augmentation.md: yolov5/tutorials/test_time_augmentation.md
tutorials/torchscript-onnx-coreml-export.md: yolov5/tutorials/model_export.md
tutorials/train-custom-datasets.md: yolov5/tutorials/train_custom_data.md
tutorials/training-tips-best-results.md: yolov5/tutorials/tips_for_best_training_results.md
tutorials/transfer-learning-froze-layers.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md
tutorials/weights-and-biasis-logging.md: yolov5/tutorials/comet_logging_integration.md
yolov5/pytorch_hub.md: yolov5/tutorials/pytorch_hub_model_loading.md
yolov5/hyp_evolution.md: yolov5/tutorials/hyperparameter_evolution.md
yolov5/pruning_sparsity.md: yolov5/tutorials/model_pruning_and_sparsity.md
yolov5/roboflow.md: yolov5/tutorials/roboflow_datasets_integration.md
yolov5/comet.md: yolov5/tutorials/comet_logging_integration.md
yolov5/clearml.md: yolov5/tutorials/clearml_logging_integration.md
yolov5/tta.md: yolov5/tutorials/test_time_augmentation.md
yolov5/multi_gpu_training.md: yolov5/tutorials/multi_gpu_training.md
yolov5/ensemble.md: yolov5/tutorials/model_ensembling.md
yolov5/jetson_nano.md: yolov5/tutorials/running_on_jetson_nano.md
yolov5/transfer_learn_frozen.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md
yolov5/neural_magic.md: yolov5/tutorials/neural_magic_pruning_quantization.md
yolov5/train_custom_data.md: yolov5/tutorials/train_custom_data.md
yolov5/architecture.md: yolov5/tutorials/architecture_description.md
yolov5/export.md: yolov5/tutorials/model_export.md
yolov5/yolov5_quickstart_tutorial.md: yolov5/quickstart_tutorial.md
yolov5/tips_for_best_training_results.md: yolov5/tutorials/tips_for_best_training_results.md
yolov5/tutorials/yolov5_neural_magic_tutorial.md: yolov5/tutorials/neural_magic_pruning_quantization.md
yolov5/tutorials/model_ensembling_tutorial.md: yolov5/tutorials/model_ensembling.md
yolov5/tutorials/pytorch_hub_tutorial.md: yolov5/tutorials/pytorch_hub_model_loading.md
yolov5/tutorials/yolov5_architecture_tutorial.md: yolov5/tutorials/architecture_description.md
yolov5/tutorials/multi_gpu_training_tutorial.md: yolov5/tutorials/multi_gpu_training.md
yolov5/tutorials/yolov5_pytorch_hub_tutorial.md: yolov5/tutorials/pytorch_hub_model_loading.md
yolov5/tutorials/model_export_tutorial.md: yolov5/tutorials/model_export.md
yolov5/tutorials/jetson_nano_tutorial.md: yolov5/tutorials/running_on_jetson_nano.md
yolov5/tutorials/yolov5_model_ensembling_tutorial.md: yolov5/tutorials/model_ensembling.md
yolov5/tutorials/roboflow_integration.md: yolov5/tutorials/roboflow_datasets_integration.md
yolov5/tutorials/pruning_and_sparsity_tutorial.md: yolov5/tutorials/model_pruning_and_sparsity.md
yolov5/tutorials/yolov5_transfer_learning_with_frozen_layers_tutorial.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md
yolov5/tutorials/transfer_learning_with_frozen_layers_tutorial.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md
yolov5/tutorials/yolov5_model_export_tutorial.md: yolov5/tutorials/model_export.md
yolov5/tutorials/neural_magic_tutorial.md: yolov5/tutorials/neural_magic_pruning_quantization.md
yolov5/tutorials/yolov5_clearml_integration_tutorial.md: yolov5/tutorials/clearml_logging_integration.md
yolov5/tutorials/yolov5_train_custom_data.md: yolov5/tutorials/train_custom_data.md
yolov5/tutorials/comet_integration_tutorial.md: yolov5/tutorials/comet_logging_integration.md
yolov5/tutorials/yolov5_pruning_and_sparsity_tutorial.md: yolov5/tutorials/model_pruning_and_sparsity.md
yolov5/tutorials/yolov5_jetson_nano_tutorial.md: yolov5/tutorials/running_on_jetson_nano.md
yolov5/tutorials/yolov5_roboflow_integration.md: yolov5/tutorials/roboflow_datasets_integration.md
yolov5/tutorials/hyperparameter_evolution_tutorial.md: yolov5/tutorials/hyperparameter_evolution.md
yolov5/tutorials/yolov5_hyperparameter_evolution_tutorial.md: yolov5/tutorials/hyperparameter_evolution.md
yolov5/tutorials/clearml_integration_tutorial.md: yolov5/tutorials/clearml_logging_integration.md
yolov5/tutorials/test_time_augmentation_tutorial.md: yolov5/tutorials/test_time_augmentation.md
yolov5/tutorials/yolov5_test_time_augmentation_tutorial.md: yolov5/tutorials/test_time_augmentation.md
yolov5/environments/yolov5_amazon_web_services_quickstart_tutorial.md: yolov5/environments/aws_quickstart_tutorial.md
yolov5/environments/yolov5_google_cloud_platform_quickstart_tutorial.md: yolov5/environments/google_cloud_quickstart_tutorial.md
yolov5/environments/yolov5_docker_image_quickstart_tutorial.md: yolov5/environments/docker_image_quickstart_tutorial.md