{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/4"}],"enrichment":{"capability":"Faster-COCO-Eval provides a high-performance replacement for COCO metric evaluation that accelerates object detection, instance segmentation, and keypoint detection result computation through C++ optimizations while maintaining a compatible API.","skillfed_tags":["computer-vision","benchmarking","performance-optimization"],"use_cases":["Accelerate evaluation loops during model training or hyperparameter tuning when using COCO-format annotations.","Replace existing COCO evaluation in detection pipelines without code changes.","Evaluate instance segmentation or keypoint detection tasks where metric computation is a bottleneck.","Generate error visualizations and metric analysis for model debugging.","Run large-scale evaluations where computation time directly impacts iteration speed."],"what_it_does":"Faster-COCO-Eval is a drop-in replacement for COCO metric evaluation that accelerates computation through C++ optimizations. It computes standard object detection, instance segmentation, and keypoint detection metrics while maintaining a compatible API, so existing code can switch with a single initialization call. The package depends only on numpy and is distributed as prebuilt wheels for Python 3.7\u20133.13 across common platforms.\n\nThe library is actively maintained with recent commits and supports Python 3.7\u20133.13. It claims significant speedup on large datasets and includes support for extended metrics, alternative dataset formats, and visualization tools available via the [extra] install variant. The fact sheet records no known security vulnerabilities.","worth_installing":"Yes, with conditions. Install if you use COCO-format evaluation and want measurable speedup without rewriting code\u2014the compatible API and prebuilt wheels make adoption low-friction. Verify the license from the repository first, especially in commercial contexts. The package is actively maintained, has no known vulnerabilities, and passes extensive test coverage, but the unclear license treatment requires a prerequisite check."},"id":"faster-coco-eval","links":{"html":"https://skillfed.io/packages/faster-coco-eval","md":"https://skillfed.io/packages/faster-coco-eval.md","pypi":"https://pypi.org/project/faster-coco-eval/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-02-22","license_spdx":null,"license_treatment":"unclear","name":"faster-coco-eval","python_support":"supports_current","summary":"Faster interpretation of the original COCOEval"},"popularity":{"monthly_downloads":681274,"position":5363,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.7.2"}