* Wrap all placeholder paths in quotes across documentation and code examples for consistency
* Update pre-commit config to exclude `docs/deprecated.md` from mdformat check
* Chore CI by adding checks for links and references
* Potential fix for code scanning alert no. 6: Workflow does not contain permissions
* Fix markdown image formatting in metrics documentation
* Update all `docs` links to use absolute URLs and fix broken references in documentation and workflows.
* Fix broken `albumentations` links in dataset processing documentation
* lycheeVersion: v0.22.0
* Refactor CI link check workflow to use lychee config file for cleaner argument management
* add TODOs for future file type support
* Fix header formatting for example plots across metric files
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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
This commit clarifies the process of object detection and annotation using Supervision and the Ultralytics YOLOv8 model. The changes also include updated instructions on how to load model predictions into Supervision and using them to annotate images, with links to the methods used in the process and the available options. An image showing the resulting annotated image has also been added for better understanding. The changes are shaped to make the documentation more informative, concise, and easy to follow.
Moved advanced filtering documentation to `how_to` directory from `quickstart` to make way for more comprehensive starter guide. Reorganized MkDocs configuration accordingly. Formatted some code in `classification/core.py` and `dataset/core.py` for better readability. Added placeholder files in `how_to` for future guides on object detection, video processing, object tracking, model evaluation, and detections filtering.
Jirka Borovec