{"adoption": {"forks": 275, "observed_at": "2026-08-28T04:03:36.597034+00:00", "stars": 1107}, "canonical_url": "https://ross.abutalabs.com/products/face-detector-1mb-with-landmark", "card": {"archived": false, "artifact_type": "library", "description": "1M人脸检测模型(含关键点)", "domain": ["computer-vision", "image-processing", "machine-learning", "artificial-intelligence"], "enriched": true, "function": ["computer-vision", "image-processing", "machine-learning", "deep-learning"], "health_score": 20, "homepage": null, "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["biubug6/Face-Detector-1MB-with-landmark"], "name": "biubug6/Face-Detector-1MB-with-landmark", "platform": ["python", "cpp", "cross-platform"], "pushed_at": "2022-08-08T03:41:04+00:00", "repo": "biubug6/Face-Detector-1MB-with-landmark", "stars": 1107, "tags": ["face-detection", "facial-landmarks", "retinaface", "ncnn", "onnx", "pytorch", "edge-deployment", "mobile-inference", "widerface", "linux", "gpu"], "topics": [], "urls": [], "use_cases": ["detect faces in images with a tiny model", "find facial landmarks like eyes and nose", "deploy face detection on mobile or embedded devices", "train a lightweight face detector on WIDER FACE", "convert face detection model to onnx or ncnn", "run real-time face detection with low compute"], "what_it_is": "A PyTorch-based ultra-lightweight face detection library (~1MB models) with 5-point facial landmark detection, offering slim, RFB, and Retinaface-mobile0.25 variants. It includes training, evaluation on WIDER FACE, ONNX export, and ncnn C++ inference for mobile/edge deployment.", "when_to_avoid": ["you need full face recognition or identity matching, not just detection", "you need heavy occlusion or extreme pose robustness beyond lightweight model accuracy", "you want a maintained production library with active updates and releases"], "when_to_choose": ["you need a sub-1MB face detector with landmarks for edge or mobile deployment", "you want ncnn or ONNX inference from a PyTorch-trained model", "you need to train or fine-tune a lightweight detector on WIDER FACE"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/face-detector-1mb-with-landmark", "repo": "biubug6/Face-Detector-1MB-with-landmark", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:36.597034+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T06:44:01.416078+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "89a06cadfd27a410b3fc25800d2ba6d9cc4ba6d94814c1936fe99eb120348e59", "fetched_at": "2026-08-28T04:03:36.597034+00:00", "kind": "readme", "missing": false, "url": "https://github.com/biubug6/Face-Detector-1MB-with-landmark"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:36.597034+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T06:44:01.416078+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "89a06cadfd27a410b3fc25800d2ba6d9cc4ba6d94814c1936fe99eb120348e59", "fetched_at": "2026-08-28T04:03:36.597034+00:00", "kind": "readme", "missing": false, "url": "https://github.com/biubug6/Face-Detector-1MB-with-landmark"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T06:44:01.416078+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "89a06cadfd27a410b3fc25800d2ba6d9cc4ba6d94814c1936fe99eb120348e59", "fetched_at": "2026-08-28T04:03:36.597034+00:00", "kind": "readme", "missing": false, "url": "https://github.com/biubug6/Face-Detector-1MB-with-landmark"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:36.597034+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:36.597034+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:36.597034+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T06:44:01.416078+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "89a06cadfd27a410b3fc25800d2ba6d9cc4ba6d94814c1936fe99eb120348e59", "fetched_at": "2026-08-28T04:03:36.597034+00:00", "kind": "readme", "missing": false, "url": "https://github.com/biubug6/Face-Detector-1MB-with-landmark"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:36.597034+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:36.597034+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T06:44:01.416078+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "89a06cadfd27a410b3fc25800d2ba6d9cc4ba6d94814c1936fe99eb120348e59", "fetched_at": "2026-08-28T04:03:36.597034+00:00", "kind": "readme", "missing": false, "url": "https://github.com/biubug6/Face-Detector-1MB-with-landmark"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:36.597034+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:36.597034+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:36.597034+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T06:44:01.416078+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "89a06cadfd27a410b3fc25800d2ba6d9cc4ba6d94814c1936fe99eb120348e59", "fetched_at": "2026-08-28T04:03:36.597034+00:00", "kind": "readme", "missing": false, "url": "https://github.com/biubug6/Face-Detector-1MB-with-landmark"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:36.597034+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:36.597034+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T06:44:01.416078+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "89a06cadfd27a410b3fc25800d2ba6d9cc4ba6d94814c1936fe99eb120348e59", "fetched_at": "2026-08-28T04:03:36.597034+00:00", "kind": "readme", "missing": false, "url": "https://github.com/biubug6/Face-Detector-1MB-with-landmark"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T06:44:01.416078+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "89a06cadfd27a410b3fc25800d2ba6d9cc4ba6d94814c1936fe99eb120348e59", "fetched_at": "2026-08-28T04:03:36.597034+00:00", "kind": "readme", "missing": false, "url": "https://github.com/biubug6/Face-Detector-1MB-with-landmark"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T06:44:01.416078+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "89a06cadfd27a410b3fc25800d2ba6d9cc4ba6d94814c1936fe99eb120348e59", "fetched_at": "2026-08-28T04:03:36.597034+00:00", "kind": "readme", "missing": false, "url": "https://github.com/biubug6/Face-Detector-1MB-with-landmark"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T06:44:01.416078+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "89a06cadfd27a410b3fc25800d2ba6d9cc4ba6d94814c1936fe99eb120348e59", "fetched_at": "2026-08-28T04:03:36.597034+00:00", "kind": "readme", "missing": false, "url": "https://github.com/biubug6/Face-Detector-1MB-with-landmark"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "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": 2510, "days_push": 1486, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}