mkdocs.yml

# Ultralytics YOLO 🚀, AGPL-3.0 license

site_name: Ultralytics YOLOv8 Docs
site_url: https://docs.ultralytics.com
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"
  logo: https://github.com/ultralytics/assets/raw/main/logo/Ultralytics_Logotype_Reverse.svg
  favicon: assets/favicon.ico
  font:
    text: Roboto
    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:
    - 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.footer
    - navigation.tracking
    - navigation.instant
    - navigation.indexes
    - content.tabs.link  # all code tabs change simultaneously

# Customization
copyright: <a href="https://ultralytics.com" target="_blank">Ultralytics 2023.</a> All rights reserved.
extra:
  # version:
  #   provider: mike  #  version drop-down menu
  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/

extra_css:
  - stylesheets/style.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
  - pymdownx.emoji:
      emoji_index: !!python/name:materialx.emoji.twemoji  # noqa
      emoji_generator: !!python/name:materialx.emoji.to_svg

  # Content tabs
  - pymdownx.tabbed:
      alternate_style: true

  # Highlight
  - pymdownx.critic
  - pymdownx.caret
  - pymdownx.keys
  - pymdownx.mark
  - pymdownx.tilde

plugins:
  - mkdocstrings
  - search

# Primary navigation
nav:
  - 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
  - Usage:
      - CLI: usage/cli.md
      - Python: usage/python.md
      - Callbacks: usage/callbacks.md
      - Configuration: usage/cfg.md
      - Advanced Customization: usage/engine.md
  - Ultralytics HUB: hub.md
  - iOS and Android App: app.md

  - Reference:
    - hub:
      - auth: reference/hub/auth.md
      - session: reference/hub/session.md
      - utils: reference/hub/utils.md
    - nn:
      - autobackend: reference/nn/autobackend.md
      - autoshape: reference/nn/autoshape.md
      - modules: reference/nn/modules.md
      - tasks: reference/nn/tasks.md
    - tracker:
      - track: reference/tracker/track.md
      - trackers:
        - basetrack: reference/tracker/trackers/basetrack.md
        - bot_sort: reference/tracker/trackers/bot_sort.md
        - byte_tracker: reference/tracker/trackers/byte_tracker.md
      - utils:
        - gmc: reference/tracker/utils/gmc.md
        - kalman_filter: reference/tracker/utils/kalman_filter.md
        - matching: reference/tracker/utils/matching.md
    - yolo:
      - data:
        - augment: reference/yolo/data/augment.md
        - base: reference/yolo/data/base.md
        - build: reference/yolo/data/build.md
        - dataloaders:
          - stream_loaders: reference/yolo/data/dataloaders/stream_loaders.md
          - v5augmentations: reference/yolo/data/dataloaders/v5augmentations.md
          - v5loader: reference/yolo/data/dataloaders/v5loader.md
        - dataset: reference/yolo/data/dataset.md
        - dataset_wrappers: reference/yolo/data/dataset_wrappers.md
        - utils: reference/yolo/data/utils.md
      - engine:
        - exporter: reference/yolo/engine/exporter.md
        - model: reference/yolo/engine/model.md
        - predictor: reference/yolo/engine/predictor.md
        - results: reference/yolo/engine/results.md
        - trainer: reference/yolo/engine/trainer.md
        - validator: reference/yolo/engine/validator.md
      - utils:
        - autobatch: reference/yolo/utils/autobatch.md
        - benchmarks: reference/yolo/utils/benchmarks.md
        - callbacks:
          - base: reference/yolo/utils/callbacks/base.md
          - clearml: reference/yolo/utils/callbacks/clearml.md
          - comet: reference/yolo/utils/callbacks/comet.md
          - hub: reference/yolo/utils/callbacks/hub.md
          - mlflow: reference/yolo/utils/callbacks/mlflow.md
          - raytune: reference/yolo/utils/callbacks/raytune.md
          - tensorboard: reference/yolo/utils/callbacks/tensorboard.md
          - wb: reference/yolo/utils/callbacks/wb.md
        - checks: reference/yolo/utils/checks.md
        - dist: reference/yolo/utils/dist.md
        - downloads: reference/yolo/utils/downloads.md
        - errors: reference/yolo/utils/errors.md
        - files: reference/yolo/utils/files.md
        - instance: reference/yolo/utils/instance.md
        - loss: reference/yolo/utils/loss.md
        - metrics: reference/yolo/utils/metrics.md
        - ops: reference/yolo/utils/ops.md
        - plotting: reference/yolo/utils/plotting.md
        - tal: reference/yolo/utils/tal.md
        - torch_utils: reference/yolo/utils/torch_utils.md
      - v8:
        - classify:
          - predict: reference/yolo/v8/classify/predict.md
          - train: reference/yolo/v8/classify/train.md
          - val: reference/yolo/v8/classify/val.md
        - detect:
          - predict: reference/yolo/v8/detect/predict.md
          - train: reference/yolo/v8/detect/train.md
          - val: reference/yolo/v8/detect/val.md
        - pose:
          - predict: reference/yolo/v8/pose/predict.md
          - train: reference/yolo/v8/pose/train.md
          - val: reference/yolo/v8/pose/val.md
        - segment:
          - predict: reference/yolo/v8/segment/predict.md
          - train: reference/yolo/v8/segment/train.md
          - val: reference/yolo/v8/segment/val.md

  - YOLOv5:
      - yolov5/index.md
      - Train Custom Data: yolov5/train_custom_data.md
      - Tips for Best Training Results: yolov5/tips_for_best_training_results.md
      - Multi-GPU Training: yolov5/multi_gpu_training.md
      - PyTorch Hub: yolov5/pytorch_hub.md
      - TFLite, ONNX, CoreML, TensorRT Export: yolov5/export.md
      - NVIDIA Jetson Nano Deployment: yolov5/jetson_nano.md
      - Test-Time Augmentation (TTA): yolov5/tta.md
      - Model Ensembling: yolov5/ensemble.md
      - Pruning/Sparsity Tutorial: yolov5/pruning_sparsity.md
      - Hyperparameter evolution: yolov5/hyp_evolution.md
      - Transfer learning with frozen layers: yolov5/transfer_learn_frozen.md
      - Architecture Summary: yolov5/architecture.md
      - Roboflow Datasets: yolov5/roboflow.md
      - Neural Magic's DeepSparse: yolov5/neural_magic.md
      - Comet Logging: yolov5/comet.md
      - Clearml Logging: yolov5/clearml.md
  - Security: SECURITY.md