{"adoption": {"forks": 1141, "observed_at": "2026-08-28T04:09:47.374124+00:00", "stars": 6654}, "canonical_url": "https://ross.abutalabs.com/products/bytetrack", "card": {"archived": false, "artifact_type": "library", "description": "[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box", "domain": ["computer-vision", "artificial-intelligence", "deep-learning"], "enriched": true, "function": ["computer-vision", "machine-learning", "image-processing"], "health_score": 20, "homepage": null, "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "stable", "member_repos": ["FoundationVision/ByteTrack"], "name": "FoundationVision/ByteTrack", "platform": ["python", "cross-platform"], "pushed_at": "2024-06-19T11:45:05+00:00", "repo": "FoundationVision/ByteTrack", "stars": 6654, "tags": ["multi-object-tracking", "object-detection", "pytorch", "real-time", "eccv-2022", "video-analytics", "gpu", "linux"], "topics": ["multi-object-tracking", "real-time", "deployment", "pytorch"], "urls": [], "use_cases": ["track multiple objects in video with bounding boxes and identities", "track pedestrians in surveillance footage in real time", "recover occluded objects that low-score detectors miss", "improve IDF1 scores of existing trackers with a better association method", "run multi-object tracking at 30 FPS on a single GPU", "benchmark a tracker on MOT17 and MOT20 datasets"], "what_it_is": "ByteTrack is a PyTorch-based multi-object tracking (MOT) library implementing the ECCV 2022 paper 'Multi-Object Tracking by Associating Every Detection Box'. It achieves state-of-the-art tracking accuracy (80.3 MOTA on MOT17) at real-time speeds by associating low-score detection boxes with tracklets to recover occluded objects.", "when_to_avoid": ["you need simple single-object tracking rather than multi-object tracking", "you cannot run a GPU or need CPU-only real-time tracking", "you need a maintained project with frequent updates, as development has slowed since 2022", "you need out-of-the-box tracking without training or configuring a detector"], "when_to_choose": ["you need state-of-the-art multi-object tracking accuracy with real-time performance", "your detections include low-confidence boxes for occluded objects that other trackers discard", "you want a well-cited, research-backed tracker with pretrained models and deployment support", "you need a tracker that can be integrated on top of various state-of-the-art detectors"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/bytetrack", "repo": "FoundationVision/ByteTrack", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:09:47.374124+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T17:43:07.022909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cadd80c640f17086af8cc0bbf2719f97fbb07c7ffa70453fa54f253ffc1fd7f4", "fetched_at": "2026-08-28T04:09:47.374124+00:00", "kind": "readme", "missing": false, "url": "https://github.com/FoundationVision/ByteTrack"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:09:47.374124+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T17:43:07.022909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cadd80c640f17086af8cc0bbf2719f97fbb07c7ffa70453fa54f253ffc1fd7f4", "fetched_at": "2026-08-28T04:09:47.374124+00:00", "kind": "readme", "missing": false, "url": "https://github.com/FoundationVision/ByteTrack"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T17:43:07.022909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cadd80c640f17086af8cc0bbf2719f97fbb07c7ffa70453fa54f253ffc1fd7f4", "fetched_at": "2026-08-28T04:09:47.374124+00:00", "kind": "readme", "missing": false, "url": "https://github.com/FoundationVision/ByteTrack"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:09:47.374124+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:09:47.374124+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:09:47.374124+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T17:43:07.022909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cadd80c640f17086af8cc0bbf2719f97fbb07c7ffa70453fa54f253ffc1fd7f4", "fetched_at": "2026-08-28T04:09:47.374124+00:00", "kind": "readme", "missing": false, "url": "https://github.com/FoundationVision/ByteTrack"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:09:47.374124+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:09:47.374124+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T17:43:07.022909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cadd80c640f17086af8cc0bbf2719f97fbb07c7ffa70453fa54f253ffc1fd7f4", "fetched_at": "2026-08-28T04:09:47.374124+00:00", "kind": "readme", "missing": false, "url": "https://github.com/FoundationVision/ByteTrack"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:09:47.374124+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:09:47.374124+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:09:47.374124+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T17:43:07.022909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cadd80c640f17086af8cc0bbf2719f97fbb07c7ffa70453fa54f253ffc1fd7f4", "fetched_at": "2026-08-28T04:09:47.374124+00:00", "kind": "readme", "missing": false, "url": "https://github.com/FoundationVision/ByteTrack"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:09:47.374124+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:09:47.374124+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T17:43:07.022909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cadd80c640f17086af8cc0bbf2719f97fbb07c7ffa70453fa54f253ffc1fd7f4", "fetched_at": "2026-08-28T04:09:47.374124+00:00", "kind": "readme", "missing": false, "url": "https://github.com/FoundationVision/ByteTrack"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T17:43:07.022909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cadd80c640f17086af8cc0bbf2719f97fbb07c7ffa70453fa54f253ffc1fd7f4", "fetched_at": "2026-08-28T04:09:47.374124+00:00", "kind": "readme", "missing": false, "url": "https://github.com/FoundationVision/ByteTrack"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T17:43:07.022909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cadd80c640f17086af8cc0bbf2719f97fbb07c7ffa70453fa54f253ffc1fd7f4", "fetched_at": "2026-08-28T04:09:47.374124+00:00", "kind": "readme", "missing": false, "url": "https://github.com/FoundationVision/ByteTrack"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T17:43:07.022909+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "cadd80c640f17086af8cc0bbf2719f97fbb07c7ffa70453fa54f253ffc1fd7f4", "fetched_at": "2026-08-28T04:09:47.374124+00:00", "kind": "readme", "missing": false, "url": "https://github.com/FoundationVision/ByteTrack"}], "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": 1832, "days_push": 805, "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}}