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ultralytics-main.zip
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更新日期:2025-09-22

yolov8源代码下载

资源文件列表(大概)

文件名
大小
ultralytics-main/
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ultralytics-main/.github/
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ultralytics-main/.github/ISSUE_TEMPLATE/
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ultralytics-main/.github/ISSUE_TEMPLATE/bug-report.yml
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ultralytics-main/.github/ISSUE_TEMPLATE/config.yml
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ultralytics-main/.github/ISSUE_TEMPLATE/feature-request.yml
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ultralytics-main/.github/ISSUE_TEMPLATE/question.yml
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ultralytics-main/.github/dependabot.yml
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ultralytics-main/.github/workflows/
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ultralytics-main/.github/workflows/ci.yaml
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ultralytics-main/.github/workflows/cla.yml
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ultralytics-main/.github/workflows/codeql.yaml
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ultralytics-main/.github/workflows/docker.yaml
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ultralytics-main/.github/workflows/greetings.yml
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ultralytics-main/.github/workflows/links.yml
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ultralytics-main/.github/workflows/publish.yml
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ultralytics-main/.github/workflows/stale.yml
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ultralytics-main/.gitignore
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ultralytics-main/.pre-commit-config.yaml
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ultralytics-main/CITATION.cff
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ultralytics-main/CONTRIBUTING.md
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ultralytics-main/LICENSE
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ultralytics-main/MANIFEST.in
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ultralytics-main/README.md
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ultralytics-main/README.zh-CN.md
27.75KB
ultralytics-main/docker/
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ultralytics-main/docker/Dockerfile
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ultralytics-main/docker/Dockerfile-arm64
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ultralytics-main/docker/Dockerfile-conda
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ultralytics-main/docker/Dockerfile-cpu
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ultralytics-main/docker/Dockerfile-jetson
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ultralytics-main/docker/Dockerfile-python
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ultralytics-main/docker/Dockerfile-runner
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ultralytics-main/docs/
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ultralytics-main/docs/README.md
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ultralytics-main/docs/ar/
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ultralytics-main/docs/ar/datasets/
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ultralytics-main/docs/ar/datasets/index.md
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ultralytics-main/docs/ar/index.md
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ultralytics-main/docs/ar/models/
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ultralytics-main/docs/ar/models/fast-sam.md
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ultralytics-main/docs/ar/models/index.md
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ultralytics-main/docs/ar/models/mobile-sam.md
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ultralytics-main/docs/ar/models/rtdetr.md
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ultralytics-main/docs/ar/models/sam.md
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ultralytics-main/docs/ar/models/yolo-nas.md
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ultralytics-main/docs/ar/models/yolov3.md
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ultralytics-main/docs/ar/models/yolov4.md
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ultralytics-main/docs/ar/models/yolov5.md
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ultralytics-main/docs/ar/models/yolov6.md
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ultralytics-main/docs/ar/models/yolov7.md
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ultralytics-main/docs/ar/models/yolov8.md
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ultralytics-main/docs/ar/modes/
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ultralytics-main/docs/ar/modes/benchmark.md
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ultralytics-main/docs/ar/modes/export.md
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ultralytics-main/docs/ar/modes/index.md
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ultralytics-main/docs/ar/modes/predict.md
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ultralytics-main/docs/ar/modes/track.md
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ultralytics-main/docs/ar/modes/train.md
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ultralytics-main/docs/ar/modes/val.md
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ultralytics-main/docs/ar/quickstart.md
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ultralytics-main/docs/ar/tasks/
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ultralytics-main/docs/ar/tasks/classify.md
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ultralytics-main/docs/ar/tasks/detect.md
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ultralytics-main/docs/ar/tasks/index.md
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ultralytics-main/docs/ar/tasks/pose.md
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ultralytics-main/docs/ar/tasks/segment.md
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ultralytics-main/docs/build_docs.py
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ultralytics-main/docs/build_reference.py
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ultralytics-main/docs/de/
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ultralytics-main/docs/de/datasets/
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ultralytics-main/docs/de/datasets/index.md
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ultralytics-main/docs/de/index.md
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ultralytics-main/docs/de/models/
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ultralytics-main/docs/de/models/fast-sam.md
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ultralytics-main/docs/de/models/index.md
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ultralytics-main/docs/de/models/mobile-sam.md
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ultralytics-main/docs/de/models/rtdetr.md
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ultralytics-main/docs/de/models/sam.md
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ultralytics-main/docs/de/models/yolo-nas.md
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ultralytics-main/docs/de/models/yolov3.md
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ultralytics-main/docs/de/models/yolov4.md
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ultralytics-main/docs/de/models/yolov5.md
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ultralytics-main/docs/de/models/yolov6.md
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ultralytics-main/docs/de/models/yolov7.md
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ultralytics-main/docs/de/models/yolov8.md
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ultralytics-main/docs/de/modes/
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ultralytics-main/docs/de/modes/benchmark.md
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ultralytics-main/docs/de/modes/export.md
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ultralytics-main/docs/de/modes/index.md
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ultralytics-main/docs/de/modes/predict.md
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ultralytics-main/docs/de/modes/track.md
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ultralytics-main/docs/de/modes/train.md
10.62KB
ultralytics-main/docs/de/modes/val.md
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ultralytics-main/docs/de/quickstart.md
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ultralytics-main/docs/de/tasks/
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ultralytics-main/docs/de/tasks/classify.md
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ultralytics-main/docs/de/tasks/detect.md
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ultralytics-main/docs/de/tasks/index.md
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ultralytics-main/docs/de/tasks/pose.md
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ultralytics-main/docs/de/tasks/segment.md
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ultralytics-main/docs/en/
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ultralytics-main/docs/en/CNAME
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ultralytics-main/docs/en/datasets/
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ultralytics-main/docs/en/datasets/classify/
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ultralytics-main/docs/en/datasets/classify/caltech101.md
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ultralytics-main/docs/en/datasets/classify/caltech256.md
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ultralytics-main/docs/en/datasets/classify/cifar10.md
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ultralytics-main/docs/en/datasets/classify/cifar100.md
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ultralytics-main/docs/en/datasets/classify/fashion-mnist.md
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ultralytics-main/docs/en/datasets/classify/imagenet.md
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ultralytics-main/docs/en/datasets/classify/imagenet10.md
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ultralytics-main/docs/en/datasets/classify/imagenette.md
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ultralytics-main/docs/en/datasets/classify/imagewoof.md
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ultralytics-main/docs/en/datasets/classify/index.md
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ultralytics-main/docs/en/datasets/classify/mnist.md
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ultralytics-main/docs/en/datasets/detect/
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ultralytics-main/docs/en/datasets/detect/argoverse.md
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ultralytics-main/docs/en/datasets/detect/coco.md
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ultralytics-main/docs/en/datasets/detect/coco8.md
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ultralytics-main/docs/en/datasets/detect/globalwheat2020.md
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ultralytics-main/docs/en/datasets/detect/index.md
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ultralytics-main/docs/en/datasets/detect/objects365.md
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ultralytics-main/docs/en/datasets/detect/open-images-v7.md
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ultralytics-main/docs/en/datasets/detect/sku-110k.md
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ultralytics-main/docs/en/datasets/detect/visdrone.md
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ultralytics-main/docs/en/datasets/detect/voc.md
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ultralytics-main/docs/en/datasets/detect/xview.md
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ultralytics-main/docs/en/datasets/index.md
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ultralytics-main/docs/en/datasets/obb/
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ultralytics-main/docs/en/datasets/obb/dota-v2.md
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ultralytics-main/docs/en/datasets/obb/index.md
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ultralytics-main/docs/en/datasets/pose/
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ultralytics-main/docs/en/datasets/pose/coco.md
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ultralytics-main/docs/en/datasets/pose/coco8-pose.md
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ultralytics-main/docs/en/datasets/pose/index.md
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ultralytics-main/docs/en/datasets/pose/tiger-pose.md
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ultralytics-main/docs/en/datasets/segment/
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ultralytics-main/docs/en/datasets/segment/coco.md
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ultralytics-main/docs/en/datasets/segment/coco8-seg.md
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ultralytics-main/docs/en/datasets/segment/index.md
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ultralytics-main/docs/en/datasets/track/
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ultralytics-main/docs/en/datasets/track/index.md
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ultralytics-main/docs/en/guides/
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ultralytics-main/docs/en/guides/azureml-quickstart.md
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ultralytics-main/docs/en/guides/conda-quickstart.md
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ultralytics-main/docs/en/guides/docker-quickstart.md
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ultralytics-main/docs/en/guides/heatmaps.md
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ultralytics-main/docs/en/guides/hyperparameter-tuning.md
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ultralytics-main/docs/en/guides/index.md
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ultralytics-main/docs/en/guides/instance-segmentation-and-tracking.md
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ultralytics-main/docs/en/guides/isolating-segmentation-objects.md
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ultralytics-main/docs/en/guides/kfold-cross-validation.md
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ultralytics-main/docs/en/guides/model-deployment-options.md
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ultralytics-main/docs/en/guides/object-counting.md
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ultralytics-main/docs/en/guides/raspberry-pi.md
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ultralytics-main/docs/en/guides/region-counting.md
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ultralytics-main/docs/en/guides/sahi-tiled-inference.md
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ultralytics-main/docs/en/guides/security-alarm-system.md
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ultralytics-main/docs/en/guides/triton-inference-server.md
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ultralytics-main/docs/en/guides/vision-eye.md
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ultralytics-main/docs/en/guides/workouts-monitoring.md
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ultralytics-main/docs/en/guides/yolo-common-issues.md
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ultralytics-main/docs/en/guides/yolo-performance-metrics.md
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ultralytics-main/docs/en/guides/yolo-thread-safe-inference.md
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ultralytics-main/docs/en/help/
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ultralytics-main/docs/en/help/CI.md
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ultralytics-main/docs/en/help/CLA.md
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ultralytics-main/docs/en/help/FAQ.md
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ultralytics-main/docs/en/help/code_of_conduct.md
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ultralytics-main/docs/en/help/contributing.md
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ultralytics-main/docs/en/help/environmental-health-safety.md
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ultralytics-main/docs/en/help/index.md
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ultralytics-main/docs/en/help/minimum_reproducible_example.md
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ultralytics-main/docs/en/help/privacy.md
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ultralytics-main/docs/en/help/security.md
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ultralytics-main/docs/en/hub/
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ultralytics-main/docs/en/hub/app/
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ultralytics-main/docs/en/hub/app/android.md
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ultralytics-main/docs/en/hub/app/index.md
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ultralytics-main/docs/en/hub/app/ios.md
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ultralytics-main/docs/en/hub/datasets.md
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ultralytics-main/docs/en/hub/index.md
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ultralytics-main/docs/en/hub/inference_api.md
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ultralytics-main/docs/en/hub/integrations.md
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ultralytics-main/docs/en/hub/models.md
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ultralytics-main/docs/en/hub/projects.md
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ultralytics-main/docs/en/hub/quickstart.md
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ultralytics-main/docs/en/index.md
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ultralytics-main/docs/en/integrations/
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ultralytics-main/docs/en/integrations/clearml.md
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ultralytics-main/docs/en/integrations/comet.md
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ultralytics-main/docs/en/integrations/dvc.md
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ultralytics-main/docs/en/integrations/index.md
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ultralytics-main/docs/en/integrations/mlflow.md
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ultralytics-main/docs/en/integrations/openvino.md
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ultralytics-main/docs/en/integrations/ray-tune.md
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ultralytics-main/docs/en/integrations/roboflow.md
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ultralytics-main/docs/en/models/
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ultralytics-main/docs/en/models/fast-sam.md
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ultralytics-main/docs/en/models/index.md
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ultralytics-main/docs/en/models/mobile-sam.md
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ultralytics-main/docs/en/models/rtdetr.md
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ultralytics-main/docs/en/models/sam.md
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ultralytics-main/docs/en/models/yolo-nas.md
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ultralytics-main/docs/en/models/yolov3.md
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ultralytics-main/docs/en/models/yolov4.md
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ultralytics-main/docs/en/models/yolov5.md
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ultralytics-main/docs/en/models/yolov6.md
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ultralytics-main/docs/en/models/yolov7.md
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ultralytics-main/docs/en/models/yolov8.md
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ultralytics-main/docs/en/modes/
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ultralytics-main/docs/en/modes/benchmark.md
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ultralytics-main/docs/en/modes/export.md
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ultralytics-main/docs/en/modes/index.md
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ultralytics-main/docs/en/modes/predict.md
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ultralytics-main/docs/en/modes/track.md
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ultralytics-main/docs/en/modes/train.md
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ultralytics-main/docs/en/modes/val.md
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ultralytics-main/docs/en/quickstart.md
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ultralytics-main/docs/en/reference/
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ultralytics-main/docs/en/reference/cfg/
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ultralytics-main/docs/en/reference/cfg/__init__.md
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ultralytics-main/docs/en/reference/data/
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ultralytics-main/docs/en/reference/data/annotator.md
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ultralytics-main/docs/en/reference/data/augment.md
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ultralytics-main/docs/en/reference/data/base.md
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ultralytics-main/docs/en/reference/data/build.md
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ultralytics-main/docs/en/reference/data/converter.md
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ultralytics-main/docs/en/reference/data/dataset.md
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ultralytics-main/docs/en/reference/data/loaders.md
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ultralytics-main/docs/en/reference/data/utils.md
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ultralytics-main/docs/en/reference/engine/
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ultralytics-main/docs/en/reference/engine/exporter.md
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ultralytics-main/docs/en/reference/engine/predictor.md
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ultralytics-main/docs/en/reference/engine/tuner.md
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ultralytics-main/docs/en/reference/engine/validator.md
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ultralytics-main/docs/en/reference/hub/
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ultralytics-main/docs/en/reference/hub/__init__.md
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ultralytics-main/docs/en/reference/hub/auth.md
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ultralytics-main/docs/en/reference/hub/session.md
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ultralytics-main/docs/en/reference/models/
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ultralytics-main/docs/en/reference/models/fastsam/
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ultralytics-main/docs/en/reference/models/fastsam/model.md
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ultralytics-main/docs/en/reference/models/fastsam/predict.md
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ultralytics-main/docs/en/reference/models/fastsam/prompt.md
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ultralytics-main/docs/en/reference/models/fastsam/utils.md
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ultralytics-main/docs/en/reference/models/fastsam/val.md
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ultralytics-main/docs/en/reference/models/nas/model.md
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ultralytics-main/docs/en/reference/models/nas/predict.md
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ultralytics-main/docs/en/reference/models/rtdetr/model.md
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ultralytics-main/docs/en/reference/models/rtdetr/predict.md
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ultralytics-main/docs/en/reference/models/rtdetr/train.md
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ultralytics-main/docs/en/reference/models/rtdetr/val.md
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ultralytics-main/docs/en/reference/models/sam/amg.md
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ultralytics-main/docs/en/reference/models/sam/build.md
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ultralytics-main/docs/en/reference/models/sam/model.md
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ultralytics-main/docs/en/reference/models/sam/modules/encoders.md
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ultralytics-main/docs/en/reference/models/sam/modules/sam.md
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ultralytics-main/docs/en/reference/models/sam/modules/tiny_encoder.md
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ultralytics-main/docs/en/reference/models/sam/modules/transformer.md
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ultralytics-main/docs/en/reference/models/sam/predict.md
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ultralytics-main/docs/en/reference/models/utils/loss.md
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ultralytics-main/docs/en/reference/models/utils/ops.md
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ultralytics-main/docs/en/reference/models/yolo/detect/predict.md
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ultralytics-main/docs/en/reference/models/yolo/detect/train.md
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ultralytics-main/docs/en/reference/models/yolo/detect/val.md
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ultralytics-main/docs/en/reference/models/yolo/model.md
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ultralytics-main/docs/en/reference/models/yolo/pose/predict.md
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ultralytics-main/docs/en/reference/models/yolo/segment/predict.md
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ultralytics-main/docs/en/reference/nn/modules/transformer.md
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ultralytics-main/docs/en/reference/nn/modules/utils.md
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ultralytics-main/docs/en/reference/solutions/heatmap.md
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ultralytics-main/docs/en/reference/trackers/utils/kalman_filter.md
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ultralytics-main/docs/en/reference/trackers/utils/matching.md
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ultralytics-main/docs/en/reference/utils/
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ultralytics-main/docs/en/reference/utils/__init__.md
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ultralytics-main/docs/en/reference/utils/autobatch.md
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ultralytics-main/docs/en/reference/utils/benchmarks.md
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ultralytics-main/docs/en/reference/utils/callbacks/base.md
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ultralytics-main/docs/en/reference/utils/callbacks/clearml.md
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ultralytics-main/docs/en/reference/utils/callbacks/comet.md
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ultralytics-main/docs/en/reference/utils/callbacks/dvc.md
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ultralytics-main/docs/en/reference/utils/callbacks/hub.md
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ultralytics-main/docs/en/reference/utils/callbacks/mlflow.md
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ultralytics-main/docs/en/reference/utils/callbacks/neptune.md
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ultralytics-main/docs/en/reference/utils/callbacks/raytune.md
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ultralytics-main/docs/en/reference/utils/callbacks/tensorboard.md
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ultralytics-main/docs/en/reference/utils/callbacks/wb.md
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资源内容介绍

yolov8源代码
<div align="center"> <p> <a href="https://yolovision.ultralytics.com/" target="_blank"> <img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/main/im/banner-yolo-vision-2023.png" alt="YOLO Vision banner"></a> </p>[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/) | [हिन्दी](https://docs.ultralytics.com/hi/) | [العربية](https://docs.ultralytics.com/ar/) <br><div> <a href="https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml"><img src="https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml/badge.svg" alt="Ultralytics CI"></a> <a href="https://codecov.io/github/ultralytics/ultralytics"><img src="https://codecov.io/github/ultralytics/ultralytics/branch/main/graph/badge.svg?token=HHW7IIVFVY" alt="Ultralytics Code Coverage"></a> <a href="https://zenodo.org/badge/latestdoi/264818686"><img src="https://zenodo.org/badge/264818686.svg" alt="YOLOv8 Citation"></a> <a href="https://hub.docker.com/r/ultralytics/ultralytics"><img src="https://img.shields.io/docker/pulls/ultralytics/ultralytics?logo=docker" alt="Docker Pulls"></a> <a href="https://ultralytics.com/discord"><img alt="Discord" src="https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue"></a> <br> <a href="https://console.paperspace.com/github/ultralytics/ultralytics"><img src="https://assets.paperspace.io/img/gradient-badge.svg" alt="Run on Gradient"></a> <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a> <a href="https://www.kaggle.com/ultralytics/yolov8"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open In Kaggle"></a></div><br>[Ultralytics](https://ultralytics.com) [YOLOv8](https://github.com/ultralytics/ultralytics) is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks.We hope that the resources here will help you get the most out of YOLOv8. Please browse the YOLOv8 <a href="https://docs.ultralytics.com/">Docs</a> for details, raise an issue on <a href="https://github.com/ultralytics/ultralytics/issues/new/choose">GitHub</a> for support, and join our <a href="https://ultralytics.com/discord">Discord</a> community for questions and discussions!To request an Enterprise License please complete the form at [Ultralytics Licensing](https://ultralytics.com/license).<img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/yolo-comparison-plots.png" alt="YOLOv8 performance plots"></a><div align="center"> <a href="https://github.com/ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="2%" alt="Ultralytics GitHub"></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="space"> <a href="https://www.linkedin.com/company/ultralytics/"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-linkedin.png" width="2%" alt="Ultralytics LinkedIn"></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="space"> <a href="https://twitter.com/ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-twitter.png" width="2%" alt="Ultralytics Twitter"></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="space"> <a href="https://youtube.com/ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-youtube.png" width="2%" alt="Ultralytics YouTube"></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="space"> <a href="https://www.tiktok.com/@ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-tiktok.png" width="2%" alt="Ultralytics TikTok"></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="space"> <a href="https://www.instagram.com/ultralytics/"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-instagram.png" width="2%" alt="Ultralytics Instagram"></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="space"> <a href="https://ultralytics.com/discord"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-discord.png" width="2%" alt="Ultralytics Discord"></a></div></div>## <div align="center">Documentation</div>See below for a quickstart installation and usage example, and see the [YOLOv8 Docs](https://docs.ultralytics.com) for full documentation on training, validation, prediction and deployment.<details open><summary>Install</summary>Pip install the ultralytics package including all [requirements](https://github.com/ultralytics/ultralytics/blob/main/requirements.txt) in a [**Python>=3.8**](https://www.python.org/) environment with [**PyTorch>=1.8**](https://pytorch.org/get-started/locally/).[![PyPI version](https://badge.fury.io/py/ultralytics.svg)](https://badge.fury.io/py/ultralytics) [![Downloads](https://static.pepy.tech/badge/ultralytics)](https://pepy.tech/project/ultralytics)```bashpip install ultralytics```For alternative installation methods including [Conda](https://anaconda.org/conda-forge/ultralytics), [Docker](https://hub.docker.com/r/ultralytics/ultralytics), and Git, please refer to the [Quickstart Guide](https://docs.ultralytics.com/quickstart).</details><details open><summary>Usage</summary>#### CLIYOLOv8 may be used directly in the Command Line Interface (CLI) with a `yolo` command:```bashyolo predict model=yolov8n.pt source='https://ultralytics.com/images/bus.jpg'````yolo` can be used for a variety of tasks and modes and accepts additional arguments, i.e. `imgsz=640`. See the YOLOv8 [CLI Docs](https://docs.ultralytics.com/usage/cli) for examples.#### PythonYOLOv8 may also be used directly in a Python environment, and accepts the same [arguments](https://docs.ultralytics.com/usage/cfg/) as in the CLI example above:```pythonfrom ultralytics import YOLO# Load a modelmodel = YOLO("yolov8n.yaml") # build a new model from scratchmodel = YOLO("yolov8n.pt") # load a pretrained model (recommended for training)# Use the modelmodel.train(data="coco128.yaml", epochs=3) # train the modelmetrics = model.val() # evaluate model performance on the validation setresults = model("https://ultralytics.com/images/bus.jpg") # predict on an imagepath = model.export(format="onnx") # export the model to ONNX format```See YOLOv8 [Python Docs](https://docs.ultralytics.com/usage/python) for more examples.</details>## <div align="center">Models</div>YOLOv8 [Detect](https://docs.ultralytics.com/tasks/detect), [Segment](https://docs.ultralytics.com/tasks/segment) and [Pose](https://docs.ultralytics.com/tasks/pose) models pretrained on the [COCO](https://docs.ultralytics.com/datasets/detect/coco) dataset are available here, as well as YOLOv8 [Classify](https://docs.ultralytics.com/tasks/classify) models pretrained on the [ImageNet](https://docs.ultralytics.com/datasets/c

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