day/mkdocs.yml

# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license

# Configuration file for building the Ultralytics YOLO documentation site using MkDocs.
# Provides settings to control site metadata, customize the appearance using the
# Material theme, define the navigation structure, and enable various plugins.

# 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
edit_uri: https://github.com/ultralytics/ultralytics/tree/main/docs/en/
repo_name: ultralytics/ultralytics
remote_name: https://github.com/ultralytics/docs
docs_dir: "docs/en/" # where to find the markdown files
site_dir: "site/" # where to publish to
use_directory_urls: true # don't display 'index.html' in slugs

# Theme customization
theme:
  name: material
  language: en
  custom_dir: docs/overrides/
  logo: https://raw.githubusercontent.com/ultralytics/assets/main/logo/Ultralytics_Logotype_Reverse.svg
  favicon: https://raw.githubusercontent.com/ultralytics/assets/refs/heads/main/logo/favicon-yolo.png
  icon:
    repo: fontawesome/brands/github
  # font:  # disabled for faster page load times
  #  text: Helvetica
  #  code: Roboto Mono
  palette:
    - media: "(prefers-color-scheme)"
      toggle:
        icon: material/brightness-auto
        name: Switch to light mode
    - media: "(prefers-color-scheme: dark)"
      scheme: slate
      primary: black
      accent: indigo
      toggle:
        icon: material/brightness-4
        name: Switch to system preference
    - media: "(prefers-color-scheme: light)"
      scheme: default
      primary: indigo
      accent: indigo
      toggle:
        icon: material/brightness-7
        name: Switch to dark mode
  features:
    - content.action.edit
    - content.code.annotate
    - content.code.copy
    - content.tooltips
    - search.highlight
    - search.share
    - search.suggest
    - toc.follow
    - navigation.top
    - navigation.tabs
    - navigation.tabs.sticky
    - navigation.prune
    - navigation.footer
    - navigation.tracking
    - navigation.instant
    - navigation.instant.progress
    - navigation.indexes
    - navigation.sections # navigation.expand or navigation.sections
    - content.tabs.link # all code tabs change simultaneously

# Customization
copyright: <a href="https://www.ultralytics.com/" target="_blank">© 2025 Ultralytics Inc.</a> All rights reserved.
extra: # version:
  homepage: https://www.ultralytics.com/
  #   provider: mike  #  version drop-down menu
  robots: robots.txt
  analytics:
    provider: google
    property: G-2M5EHKC0BH
  social:
    - icon: fontawesome/brands/github
      link: https://github.com/ultralytics
    - icon: fontawesome/brands/linkedin
      link: https://www.linkedin.com/company/ultralytics/
    - icon: fontawesome/brands/x-twitter
      link: https://twitter.com/ultralytics
    - icon: fontawesome/brands/youtube
      link: https://youtube.com/ultralytics?sub_confirmation=1
    - 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://discord.com/invite/ultralytics
    - icon: fontawesome/brands/reddit
      link: https://reddit.com/r/ultralytics

extra_css:
  - stylesheets/style.css

extra_javascript:
  - javascript/extra.js
  - javascript/giscus.js

markdown_extensions:
  - admonition
  - md_in_html
  - tables
  - attr_list
  - def_list
  - pymdownx.critic
  - pymdownx.caret
  - pymdownx.keys
  - pymdownx.mark
  - pymdownx.tilde
  - pymdownx.details
  - pymdownx.superfences
  - pymdownx.inlinehilite
  - pymdownx.highlight:
      anchor_linenums: true
  - pymdownx.snippets:
      base_path: ./
  - pymdownx.emoji:
      emoji_index: !!python/name:material.extensions.emoji.twemoji
      emoji_generator: !!python/name:material.extensions.emoji.to_svg
  - pymdownx.tabbed:
      alternate_style: true

# Validation settings https://www.mkdocs.org/user-guide/configuration/#validation
validation:
  nav:
    omitted_files: info
    not_found: warn
    absolute_links: info
  links:
    absolute_links: relative_to_docs
    anchors: warn
    unrecognized_links: warn

# 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
      - YOLO11 🚀 NEW: models/yolo11.md # for promotion of new pages
      - Languages:
          - 🇬🇧&nbsp English: https://ultralytics.com/docs/
          - 🇨🇳&nbsp 简体中文: https://docs.ultralytics.com/zh/
          - 🇰🇷&nbsp 한국어: https://docs.ultralytics.com/ko/
          - 🇯🇵&nbsp 日本語: https://docs.ultralytics.com/ja/
          - 🇷🇺&nbsp Русский: https://docs.ultralytics.com/ru/
          - 🇩🇪&nbsp Deutsch: https://docs.ultralytics.com/de/
          - 🇫🇷&nbsp Français: https://docs.ultralytics.com/fr/
          - 🇪🇸&nbsp Español: https://docs.ultralytics.com/es/
          - 🇵🇹&nbsp Português: https://docs.ultralytics.com/pt/
          - 🇮🇹&nbsp Italiano: https://docs.ultralytics.com/it/
          - 🇹🇷&nbsp Türkçe: https://docs.ultralytics.com/tr/
          - 🇻🇳&nbsp Tiếng Việt: https://docs.ultralytics.com/vi/
          - 🇸🇦&nbsp 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
  - 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
  - Tasks:
      - tasks/index.md
      - Detect: tasks/detect.md
      - Segment: tasks/segment.md
      - Classify: tasks/classify.md
      - Pose: tasks/pose.md
      - OBB: tasks/obb.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
  - 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
      - YOLO11 🚀 NEW: models/yolo11.md
      - SAM (Segment Anything Model): models/sam.md
      - SAM 2 (Segment Anything Model 2): models/sam-2.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
      - 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
          - RF100: datasets/detect/roboflow-100.md
          - Brain-tumor: datasets/detect/brain-tumor.md
          - African-wildlife: datasets/detect/african-wildlife.md
          - Signature: datasets/detect/signature.md
          - Medical-pills: datasets/detect/medical-pills.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
          - Hand-keypoints: datasets/pose/hand-keypoints.md
          - Dog-pose: datasets/pose/dog-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
  - Solutions 🚀 NEW:
      - solutions/index.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
      - Analytics: guides/analytics.md
      - Live Inference: guides/streamlit-live-inference.md
      - Track Objects in Zone 🚀 NEW: guides/trackzone.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.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
              - 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
      - Amazon SageMaker: integrations/amazon-sagemaker.md
      - ClearML: integrations/clearml.md
      - Comet ML: integrations/comet.md
      - CoreML: integrations/coreml.md
      - DVC: integrations/dvc.md
      - Google Colab: integrations/google-colab.md
      - Gradio: integrations/gradio.md
      - IBM Watsonx: integrations/ibm-watsonx.md
      - JupyterLab: integrations/jupyterlab.md
      - Kaggle: integrations/kaggle.md
      - MLflow: integrations/mlflow.md
      - Neural Magic: integrations/neural-magic.md
      - ONNX: integrations/onnx.md
      - OpenVINO: integrations/openvino.md
      - PaddlePaddle: integrations/paddlepaddle.md
      - MNN: integrations/mnn.md
      - NCNN: integrations/ncnn.md
      - Paperspace Gradient: integrations/paperspace.md
      - Ray Tune: integrations/ray-tune.md
      - Roboflow: integrations/roboflow.md
      - TF GraphDef: integrations/tf-graphdef.md
      - TF SavedModel: integrations/tf-savedmodel.md
      - TF.js: integrations/tfjs.md
      - TFLite: integrations/tflite.md
      - TFLite Edge TPU: integrations/edge-tpu.md
      - TensorBoard: integrations/tensorboard.md
      - TensorRT: integrations/tensorrt.md
      - TorchScript: integrations/torchscript.md
      - VS Code: integrations/vscode.md
      - Weights & Biases: integrations/weights-biases.md
      - Albumentations: integrations/albumentations.md
      - SONY IMX500: integrations/sony-imx500.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
          - 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
          - google:
              - __init__: reference/hub/google/__init__.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
              - 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:
                  - blocks: reference/models/sam/modules/blocks.md
                  - decoders: reference/models/sam/modules/decoders.md
                  - encoders: reference/models/sam/modules/encoders.md
                  - memory_attention: reference/models/sam/modules/memory_attention.md
                  - sam: reference/models/sam/modules/sam.md
                  - tiny_encoder: reference/models/sam/modules/tiny_encoder.md
                  - transformer: reference/models/sam/modules/transformer.md
                  - utils: reference/models/sam/modules/utils.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
          - region_counter: reference/solutions/region_counter.md
          - security_alarm: reference/solutions/security_alarm.md
          - solutions: reference/solutions/solutions.md
          - speed_estimation: reference/solutions/speed_estimation.md
          - streamlit_inference: reference/solutions/streamlit_inference.md
          - trackzone: reference/solutions/trackzone.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

# Plugins including 301 redirects navigation ---------------------------------------------------------------------------
plugins:
  - macros
  # - search:
  #     lang: en
  - mkdocstrings:
      enabled: true
      default_handler: python
      handlers:
        python:
          options:
            docstring_options:
              ignore_init_summary: true
            merge_init_into_class: true
            docstring_style: google
            show_root_heading: true
            show_source: true
            separate_signature: true
            line_length: 80
            show_signature_annotations: true
            show_symbol_type_heading: true # insiders
            show_symbol_type_toc: true # insiders
            show_inheritance_diagram: true # insiders
  - ultralytics:
      add_desc: False
      add_image: True
      add_authors: True
      add_json_ld: True
      add_share_buttons: True
      add_css: False
      default_image: https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png
  - redirects:
      redirect_maps:
        hi/index.md: index.md
        nl/index.md: index.md
        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
        hub/inference_api.md: hub/inference-api.md
        usage/hyperparameter_tuning.md: integrations/ray-tune.md
        models/sam2.md: models/sam-2.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
        reference/index.md: reference/cfg/__init__.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
        SECURITY.md: help/security.md
        help/minimum_reproducible_example.md: help/minimum-reproducible-example.md
        help/code_of_conduct.md: help/code-of-conduct.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: guides/nvidia-jetson.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: guides/nvidia-jetson.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: guides/nvidia-jetson.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: guides/nvidia-jetson.md
        yolov5/tutorials/running_on_jetson_nano.md: guides/nvidia-jetson.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
        reference/data/explorer/explorer.md: datasets/explorer/index.md
        reference/data/explorer/gui/dash.md: datasets/explorer/index.md
        reference/data/explorer/utils.md: datasets/explorer/index.md