{"adoption": {"forks": 318, "observed_at": "2026-08-28T04:04:53.159956+00:00", "stars": 1495}, "canonical_url": "https://ross.abutalabs.com/products/cnnimageretrieval-pytorch", "card": {"archived": false, "artifact_type": "library", "description": "CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch", "domain": ["computer-vision", "image-processing", "deep-learning", "machine-learning"], "enriched": true, "function": ["machine-learning", "deep-learning", "image-processing", "search-engine"], "health_score": 20, "homepage": "http://cmp.felk.cvut.cz/cnnimageretrieval", "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["filipradenovic/cnnimageretrieval-pytorch"], "name": "filipradenovic/cnnimageretrieval-pytorch", "platform": ["python", "cross-platform"], "pushed_at": "2024-05-13T13:12:43+00:00", "repo": "filipradenovic/cnnimageretrieval-pytorch", "stars": 1495, "tags": ["image-retrieval", "pytorch", "cnn", "fine-tuning", "global-descriptors", "whitening", "oxford-paris-benchmark", "research-code", "gpu", "linux"], "topics": ["image-retrieval", "convolutional-neural-networks", "cnn", "python", "pytorch"], "urls": [], "use_cases": ["train a CNN for image retrieval in pytorch", "evaluate image retrieval on Oxford and Paris datasets", "fine-tune pretrained networks with no human annotation", "learn supervised whitening for global image descriptors", "extract global image descriptors for similarity search", "reproduce CNN image retrieval research papers"], "what_it_is": "A PyTorch toolbox for training and evaluating convolutional neural networks for image retrieval, implementing the authors' TPAMI 2018 and ECCV 2016 papers. It supports fine-tuning CNNs, learning supervised whitening for global image descriptors, and benchmarking on Oxford and Paris datasets.", "when_to_avoid": ["you need modern transformer-based retrieval models like CLIP or DINO", "you want local feature matching rather than global descriptors", "you need a production-ready retrieval service rather than research code", "you work outside PyTorch"], "when_to_choose": []}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/cnnimageretrieval-pytorch", "repo": "filipradenovic/cnnimageretrieval-pytorch", "role": "main", "score": 23}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.159956+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:33:16.739556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "03c540986052192ff9beb9c61e6e35d0b4d88856177920454c47077bd062b561", "fetched_at": "2026-08-28T04:04:53.159956+00:00", "kind": "readme", "missing": false, "url": "https://github.com/filipradenovic/cnnimageretrieval-pytorch"}, {"content_hash": "f60e78ba5d21d41abbafba5280ecdf05bff607897a7a7c76cc8205de48d4c23b", "fetched_at": "2026-08-29T11:38:39.715266+00:00", "kind": "homepage", "missing": false, "url": "http://cmp.felk.cvut.cz/cnnimageretrieval"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.159956+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:33:16.739556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "03c540986052192ff9beb9c61e6e35d0b4d88856177920454c47077bd062b561", "fetched_at": "2026-08-28T04:04:53.159956+00:00", "kind": "readme", "missing": false, "url": "https://github.com/filipradenovic/cnnimageretrieval-pytorch"}, {"content_hash": "f60e78ba5d21d41abbafba5280ecdf05bff607897a7a7c76cc8205de48d4c23b", "fetched_at": "2026-08-29T11:38:39.715266+00:00", "kind": "homepage", "missing": false, "url": "http://cmp.felk.cvut.cz/cnnimageretrieval"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:33:16.739556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "03c540986052192ff9beb9c61e6e35d0b4d88856177920454c47077bd062b561", "fetched_at": "2026-08-28T04:04:53.159956+00:00", "kind": "readme", "missing": false, "url": "https://github.com/filipradenovic/cnnimageretrieval-pytorch"}, {"content_hash": "f60e78ba5d21d41abbafba5280ecdf05bff607897a7a7c76cc8205de48d4c23b", "fetched_at": "2026-08-29T11:38:39.715266+00:00", "kind": "homepage", "missing": false, "url": "http://cmp.felk.cvut.cz/cnnimageretrieval"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.159956+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.159956+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.159956+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:33:16.739556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "03c540986052192ff9beb9c61e6e35d0b4d88856177920454c47077bd062b561", "fetched_at": "2026-08-28T04:04:53.159956+00:00", "kind": "readme", "missing": false, "url": "https://github.com/filipradenovic/cnnimageretrieval-pytorch"}, {"content_hash": "f60e78ba5d21d41abbafba5280ecdf05bff607897a7a7c76cc8205de48d4c23b", "fetched_at": "2026-08-29T11:38:39.715266+00:00", "kind": "homepage", "missing": false, "url": "http://cmp.felk.cvut.cz/cnnimageretrieval"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.159956+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.159956+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:33:16.739556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "03c540986052192ff9beb9c61e6e35d0b4d88856177920454c47077bd062b561", "fetched_at": "2026-08-28T04:04:53.159956+00:00", "kind": "readme", "missing": false, "url": "https://github.com/filipradenovic/cnnimageretrieval-pytorch"}, {"content_hash": "f60e78ba5d21d41abbafba5280ecdf05bff607897a7a7c76cc8205de48d4c23b", "fetched_at": "2026-08-29T11:38:39.715266+00:00", "kind": "homepage", "missing": false, "url": "http://cmp.felk.cvut.cz/cnnimageretrieval"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.159956+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.159956+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.159956+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:33:16.739556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "03c540986052192ff9beb9c61e6e35d0b4d88856177920454c47077bd062b561", "fetched_at": "2026-08-28T04:04:53.159956+00:00", "kind": "readme", "missing": false, "url": "https://github.com/filipradenovic/cnnimageretrieval-pytorch"}, {"content_hash": "f60e78ba5d21d41abbafba5280ecdf05bff607897a7a7c76cc8205de48d4c23b", "fetched_at": "2026-08-29T11:38:39.715266+00:00", "kind": "homepage", "missing": false, "url": "http://cmp.felk.cvut.cz/cnnimageretrieval"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.159956+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.159956+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:33:16.739556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "03c540986052192ff9beb9c61e6e35d0b4d88856177920454c47077bd062b561", "fetched_at": "2026-08-28T04:04:53.159956+00:00", "kind": "readme", "missing": false, "url": "https://github.com/filipradenovic/cnnimageretrieval-pytorch"}, {"content_hash": "f60e78ba5d21d41abbafba5280ecdf05bff607897a7a7c76cc8205de48d4c23b", "fetched_at": "2026-08-29T11:38:39.715266+00:00", "kind": "homepage", "missing": false, "url": "http://cmp.felk.cvut.cz/cnnimageretrieval"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:33:16.739556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "03c540986052192ff9beb9c61e6e35d0b4d88856177920454c47077bd062b561", "fetched_at": "2026-08-28T04:04:53.159956+00:00", "kind": "readme", "missing": false, "url": "https://github.com/filipradenovic/cnnimageretrieval-pytorch"}, {"content_hash": "f60e78ba5d21d41abbafba5280ecdf05bff607897a7a7c76cc8205de48d4c23b", "fetched_at": "2026-08-29T11:38:39.715266+00:00", "kind": "homepage", "missing": false, "url": "http://cmp.felk.cvut.cz/cnnimageretrieval"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:33:16.739556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "03c540986052192ff9beb9c61e6e35d0b4d88856177920454c47077bd062b561", "fetched_at": "2026-08-28T04:04:53.159956+00:00", "kind": "readme", "missing": false, "url": "https://github.com/filipradenovic/cnnimageretrieval-pytorch"}, {"content_hash": "f60e78ba5d21d41abbafba5280ecdf05bff607897a7a7c76cc8205de48d4c23b", "fetched_at": "2026-08-29T11:38:39.715266+00:00", "kind": "homepage", "missing": false, "url": "http://cmp.felk.cvut.cz/cnnimageretrieval"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:33:16.739556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "03c540986052192ff9beb9c61e6e35d0b4d88856177920454c47077bd062b561", "fetched_at": "2026-08-28T04:04:53.159956+00:00", "kind": "readme", "missing": false, "url": "https://github.com/filipradenovic/cnnimageretrieval-pytorch"}, {"content_hash": "f60e78ba5d21d41abbafba5280ecdf05bff607897a7a7c76cc8205de48d4c23b", "fetched_at": "2026-08-29T11:38:39.715266+00:00", "kind": "homepage", "missing": false, "url": "http://cmp.felk.cvut.cz/cnnimageretrieval"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 8}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3051, "days_push": 842, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 23, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}