{"adoption": {"forks": 318, "observed_at": "2026-08-28T04:07:55.838069+00:00", "stars": 3305}, "canonical_url": "https://ross.abutalabs.com/products/d-fine", "card": {"archived": false, "artifact_type": "library", "description": "D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement  [ICLR 2025 Spotlight]", "domain": ["computer-vision", "deep-learning", "artificial-intelligence"], "enriched": true, "function": ["computer-vision", "machine-learning", "deep-learning"], "health_score": 79, "homepage": null, "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "active", "member_repos": ["Peterande/D-FINE"], "name": "Peterande/D-FINE", "platform": ["python", "cross-platform"], "pushed_at": "2026-08-19T15:08:14+00:00", "repo": "Peterande/D-FINE", "stars": 3305, "tags": ["object-detection", "detr", "real-time-detection", "iclr-2025", "pytorch", "model-zoo", "gpu", "linux"], "topics": ["detr", "object-detection", "d-fine"], "urls": [], "use_cases": ["train a state-of-the-art real-time object detector on custom datasets", "run fast object detection on images or video", "fine-tune a DETR-based detection model", "deploy an efficient object detection model with low latency", "reproduce ICLR 2025 D-FINE paper results on COCO", "export detection models for edge or production inference"], "what_it_is": "D-FINE is the official PyTorch implementation of an ICLR 2025 Spotlight paper that redefines the regression task in DETR-style detectors as fine-grained distribution refinement, achieving state-of-the-art real-time object detection on COCO. It provides pretrained models, training, and inference tooling for real-time object detection.", "when_to_avoid": ["you need segmentation, tracking, or other vision tasks beyond bounding-box detection", "you lack GPU resources for training DETR-style models", "you need a detector integrated into a larger framework like MMDetection or Ultralytics"], "when_to_choose": ["you need a fast, accurate real-time object detector with pretrained weights", "you want a modern DETR-family detector that is easy to train without hand-tuned anchors or NMS", "you need a research baseline for detection regression refinement"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/d-fine", "repo": "Peterande/D-FINE", "role": "main", "score": 67}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:07:55.838069+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T18:42:39.014614+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2b8d55ad008cd4ff3fa9ad5f811fb1cd1839029ed1517f295cedbc42e9f9318", "fetched_at": "2026-08-28T04:07:55.838069+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Peterande/D-FINE"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:07:55.838069+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T18:42:39.014614+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2b8d55ad008cd4ff3fa9ad5f811fb1cd1839029ed1517f295cedbc42e9f9318", "fetched_at": "2026-08-28T04:07:55.838069+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Peterande/D-FINE"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T18:42:39.014614+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2b8d55ad008cd4ff3fa9ad5f811fb1cd1839029ed1517f295cedbc42e9f9318", "fetched_at": "2026-08-28T04:07:55.838069+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Peterande/D-FINE"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:07:55.838069+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:07:55.838069+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:07:55.838069+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T18:42:39.014614+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2b8d55ad008cd4ff3fa9ad5f811fb1cd1839029ed1517f295cedbc42e9f9318", "fetched_at": "2026-08-28T04:07:55.838069+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Peterande/D-FINE"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:07:55.838069+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:07:55.838069+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T18:42:39.014614+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2b8d55ad008cd4ff3fa9ad5f811fb1cd1839029ed1517f295cedbc42e9f9318", "fetched_at": "2026-08-28T04:07:55.838069+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Peterande/D-FINE"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:07:55.838069+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:07:55.838069+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:07:55.838069+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T18:42:39.014614+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2b8d55ad008cd4ff3fa9ad5f811fb1cd1839029ed1517f295cedbc42e9f9318", "fetched_at": "2026-08-28T04:07:55.838069+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Peterande/D-FINE"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:07:55.838069+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:07:55.838069+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T18:42:39.014614+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2b8d55ad008cd4ff3fa9ad5f811fb1cd1839029ed1517f295cedbc42e9f9318", "fetched_at": "2026-08-28T04:07:55.838069+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Peterande/D-FINE"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T18:42:39.014614+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2b8d55ad008cd4ff3fa9ad5f811fb1cd1839029ed1517f295cedbc42e9f9318", "fetched_at": "2026-08-28T04:07:55.838069+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Peterande/D-FINE"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T18:42:39.014614+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2b8d55ad008cd4ff3fa9ad5f811fb1cd1839029ed1517f295cedbc42e9f9318", "fetched_at": "2026-08-28T04:07:55.838069+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Peterande/D-FINE"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T18:42:39.014614+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2b8d55ad008cd4ff3fa9ad5f811fb1cd1839029ed1517f295cedbc42e9f9318", "fetched_at": "2026-08-28T04:07:55.838069+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Peterande/D-FINE"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 98, "longevity": 53, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 751, "days_push": 14, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 67, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}