# 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
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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
- 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
- Integrations :
- integrations/index.md
- OpenVINO : integrations/openvino.md
- Ray Tune : integrations/ray-tune.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
- 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
- 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
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