- Added `sv.mask_to_roi` as an explicit migration path for exclusive mask bounds
- Fixed COCO, CreateML, and Pascal VOC export validation to reject ambiguous or colliding dataset paths before writing
- Fixed in-memory `DetectionDataset` split and merge behavior
- Fixed `supervision` imports to avoid loading ByteTrack until it is used
- Fixed detection conversion helpers to support coordinate-convention migration while preserving legacy inclusive defaults
- Fixed Azure tag mapping, anchor rounding, and line-zone smoothing to avoid incorrect or ghost detections
- Fixed video processing shutdown handling for timeout and full-queue cases
- Improved downloader, validator, documentation, and regression coverage for the shipped dataset, detection, annotator, image, and video behavior
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Co-authored-by: Codex <codex@openai.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
- Extend active deprecation removals to 0.31.0 and align deprecated API docs, changelog, and warnings.
- Add missing reference docs for VLM, conversion helpers, geometry, metrics extras, and tracker deprecation notices.
- Raise when ImageSink cannot write an image and cover the failure path with a regression test.
- Correct conversion and deprecated docs to match exported names and restore KeyPoints.confidence.
- Add regression coverage for SUPERVISION_DEPRECATION_WARNING precedence and document ImageSink.save_image() failure behavior.
* test: add validation and behavior tests for Color, Position, and polygon approximation adjustments
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Co-authored-by: Codex <codex@openai.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
- Fixed crop annotation so overlapping detections sample from the original scene
- Fixed dataset exports to reject basename collisions, including case-insensitive collisions
- Fixed LMM connector mapping to support mirror enum aliases without a hand-maintained dispatch table
- Updated benchmark documentation to install the released inference package with metrics support
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Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
- Fixed in-memory dict-form `DetectionDataset` image access, iteration, equality, and merge behavior, with deprecation messaging retained
- Fixed mAP to honor `metric_target` for mask and oriented-bounding-box evaluation, including correct IoU routing, area handling, crowd semantics, and missing-content errors
- Fixed `ConfusionMatrix.plot()` when plotting raw counts with default normalization disabled
- Improved mask mAP crowd handling performance and memory usage
- Updated the count-in-zone guide to use current APIs
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Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
- Improved `Detections.merge()` to preserve `CompactMask` output when merging dense and compact masks by converting dense masks to compact form, avoiding unnecessary full-mask materialization while keeping all-dense and all-compact behavior unchanged.
- Added validation to mixed-mask merging that raises `ValueError` when compact masks have inconsistent image shapes or dense mask dimensions do not match the compact mask image size.
- Added the public `CompactMask.image_shape` property for safe access to compact mask dimensions.
- Updated `Detections.merge()` documentation to describe mixed-mask merge behavior, output types, validation errors, the lossy dense-to-compact conversion outside detection bounding boxes, and that NMS/NMM pairwise operations do not preserve `CompactMask`.
- Added a comprehensive "Use Compact Masks" how-to guide covering compact mask ingestion, inference, annotator mask requirements, and mixed-mask merging, and integrated it into the documentation navigation.
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Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
- Added LabelMe import and export support for DetectionDataset, including per-image JSON loading/saving alongside existing dataset formats
- Added LabelMe rectangle-to-box and polygon-to-mask conversion, with rectangle masks available when mask output is requested or polygon annotations are present
- Added LabelMe path-safety protections by resolving image paths by basename and rejecting unsafe or ambiguous image references
- Added validation for duplicate image basenames, malformed shape points, missing imagePath values, and invalid class IDs during LabelMe load/export
- Improved LabelMe handling by warning and skipping unsupported shape types
- Updated documentation and changelog with LabelMe workflow examples and supported-format references
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Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>
Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
Co-authored-by: Codex <codex@openai.com>
* docs: improve SEO and GEO docs publishing
* docs: refine language for model compatibility and package features
* fix: correct spelling "Underestand" → "Understand" in notebook title
* fix: derive JSON-LD SearchAction URL from config.site_url
* lint: reformat notebook JSON (indent 1→4, pretty-format-json)
* docs: refine description for `supervision.assets` video addition
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Co-authored-by: Codex <codex@openai.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Claude Code <noreply@anthropic.com>
- Expand llms.txt from 12 to 36+ URLs with FAQ, benchmarking, and API sections
- FAQPage schema: 5 → 12 Q&As in theme/main.html
- TechArticle schema: add dynamic author/date from page meta
- Add authors + date_modified frontmatter to all 8 how-to pages
- Add description meta to 7 reference pages (detection/core, trackers, datasets/core, metrics/mean_average_precision, cookbooks, assets, changelog)
- FAQ sections to all 8 how-to pages (Q&A format for AI citation)
- Author bios at bottom of each how-to page (E-E-A-T signal)
- FAQPage + TechArticle schema for how_to, reference, and cookbook pages in theme/main.html
- llms.txt Key APIs: expand from bare list to descriptive prose paragraphs
- Changelog: add date_modified frontmatter
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Co-authored-by: Claude Code <noreply@anthropic.com>
Co-authored-by: OpenAI Codex <codex@openai.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* 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
* add count in zone guide to table of contents
* add count in zone docs
* respond to feedback
* fix(pre_commit): 🎨 auto format pre-commit hooks
* update count in zone example
* Apply suggestions from code review
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* 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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Jirka Borovec
Matt Van Horn
Saif Khan
Madhav-C
Prem
Christoph Deil
James
SkalskiP
Dominik Winecki
soumik12345
LinasKo
Onuralp SEZER
Ju Hoon Park
pre-commit-ci[bot]
Linas Kondrackis