{"adoption": {"forks": 565, "observed_at": "2026-08-28T04:07:09.960810+00:00", "stars": 2679}, "canonical_url": "https://ross.abutalabs.com/products/unetplusplus", "card": {"archived": false, "artifact_type": "library", "description": "[IEEE TMI Best Paper Award] Official Implementation for UNet++", "domain": ["deep-learning", "computer-vision", "healthcare"], "enriched": true, "function": ["machine-learning", "deep-learning", "image-processing", "computer-vision"], "health_score": 80, "homepage": "https://www.zongweiz.com/research", "language": "Python", "license": "NOASSERTION", "license_family": "other", "maturity": "stable", "member_repos": ["MrGiovanni/UNetPlusPlus"], "name": "MrGiovanni/UNetPlusPlus", "platform": ["python", "cross-platform"], "pushed_at": "2026-08-25T17:17:31+00:00", "repo": "MrGiovanni/UNetPlusPlus", "stars": 2679, "tags": ["unet-plus-plus", "semantic-segmentation", "medical-image-segmentation", "nested-unet", "skip-connections", "biomedical-imaging", "keras", "pytorch", "research-code", "ieee-tmi", "medical-imaging"], "topics": ["medical-imaging", "segmentation", "unet", "biomedical-imaging", "ct", "keras", "medical-image-segmentation", "mri", "pytorch", "semantic-segmentation", "skip-connections"], "urls": [], "use_cases": ["segment medical images like CT and MRI scans", "implement UNet++ for biomedical image segmentation", "train a nested U-Net with redesigned skip connections", "segment organs or tumors in medical imaging datasets", "reproduce results from the UNet++ TMI paper", "compare U-Net variants for semantic segmentation research"], "what_it_is": "Official implementation of UNet++, a nested U-Net architecture for medical image segmentation, in both Keras and PyTorch. It redesigns skip connections with dense decoder connections to exploit multiscale features and address the unknown optimal depth of the original U-Net.", "when_to_avoid": ["you need a general-purpose segmentation toolkit beyond the UNet++ architecture", "you require a permissively licensed library for commercial embedding, since the license is not a standard OSI license", "you want a maintained production pipeline with pretrained weights and inference APIs rather than research code", "your project is not image segmentation related"], "when_to_choose": ["you need the canonical, paper-backed UNet++ implementation for medical image segmentation", "you work with CT or MRI data and want dense skip connections across decoder depths", "you want both Keras and PyTorch reference code from the original authors", "you are researching segmentation architectures and need a well-cited baseline"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/unetplusplus", "repo": "MrGiovanni/UNetPlusPlus", "role": "main", "score": 77}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:07:09.960810+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:17:57.066960+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1426a1af7d4d8c34a085ef95c3163dcc19a8f029fe1c2f57311c73ca526c34a9", "fetched_at": "2026-08-28T04:07:09.960810+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MrGiovanni/UNetPlusPlus"}, {"content_hash": "44f817137c6e434a513a1162c92ea39ab6892f0027404a964b601ffb30f9e692", "fetched_at": "2026-08-29T10:00:14.850626+00:00", "kind": "homepage", "missing": false, "url": "https://www.zongweiz.com/research"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:07:09.960810+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:17:57.066960+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1426a1af7d4d8c34a085ef95c3163dcc19a8f029fe1c2f57311c73ca526c34a9", "fetched_at": "2026-08-28T04:07:09.960810+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MrGiovanni/UNetPlusPlus"}, {"content_hash": "44f817137c6e434a513a1162c92ea39ab6892f0027404a964b601ffb30f9e692", "fetched_at": "2026-08-29T10:00:14.850626+00:00", "kind": "homepage", "missing": false, "url": "https://www.zongweiz.com/research"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:17:57.066960+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1426a1af7d4d8c34a085ef95c3163dcc19a8f029fe1c2f57311c73ca526c34a9", "fetched_at": "2026-08-28T04:07:09.960810+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MrGiovanni/UNetPlusPlus"}, {"content_hash": "44f817137c6e434a513a1162c92ea39ab6892f0027404a964b601ffb30f9e692", "fetched_at": "2026-08-29T10:00:14.850626+00:00", "kind": "homepage", "missing": false, "url": "https://www.zongweiz.com/research"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:07:09.960810+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:07:09.960810+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:07:09.960810+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:17:57.066960+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1426a1af7d4d8c34a085ef95c3163dcc19a8f029fe1c2f57311c73ca526c34a9", "fetched_at": "2026-08-28T04:07:09.960810+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MrGiovanni/UNetPlusPlus"}, {"content_hash": "44f817137c6e434a513a1162c92ea39ab6892f0027404a964b601ffb30f9e692", "fetched_at": "2026-08-29T10:00:14.850626+00:00", "kind": "homepage", "missing": false, "url": "https://www.zongweiz.com/research"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:07:09.960810+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:07:09.960810+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:17:57.066960+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1426a1af7d4d8c34a085ef95c3163dcc19a8f029fe1c2f57311c73ca526c34a9", "fetched_at": "2026-08-28T04:07:09.960810+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MrGiovanni/UNetPlusPlus"}, {"content_hash": "44f817137c6e434a513a1162c92ea39ab6892f0027404a964b601ffb30f9e692", "fetched_at": "2026-08-29T10:00:14.850626+00:00", "kind": "homepage", "missing": false, "url": "https://www.zongweiz.com/research"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:07:09.960810+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:07:09.960810+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:07:09.960810+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:17:57.066960+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1426a1af7d4d8c34a085ef95c3163dcc19a8f029fe1c2f57311c73ca526c34a9", "fetched_at": "2026-08-28T04:07:09.960810+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MrGiovanni/UNetPlusPlus"}, {"content_hash": "44f817137c6e434a513a1162c92ea39ab6892f0027404a964b601ffb30f9e692", "fetched_at": "2026-08-29T10:00:14.850626+00:00", "kind": "homepage", "missing": false, "url": "https://www.zongweiz.com/research"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:07:09.960810+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:07:09.960810+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:17:57.066960+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1426a1af7d4d8c34a085ef95c3163dcc19a8f029fe1c2f57311c73ca526c34a9", "fetched_at": "2026-08-28T04:07:09.960810+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MrGiovanni/UNetPlusPlus"}, {"content_hash": "44f817137c6e434a513a1162c92ea39ab6892f0027404a964b601ffb30f9e692", "fetched_at": "2026-08-29T10:00:14.850626+00:00", "kind": "homepage", "missing": false, "url": "https://www.zongweiz.com/research"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:17:57.066960+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1426a1af7d4d8c34a085ef95c3163dcc19a8f029fe1c2f57311c73ca526c34a9", "fetched_at": "2026-08-28T04:07:09.960810+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MrGiovanni/UNetPlusPlus"}, {"content_hash": "44f817137c6e434a513a1162c92ea39ab6892f0027404a964b601ffb30f9e692", "fetched_at": "2026-08-29T10:00:14.850626+00:00", "kind": "homepage", "missing": false, "url": "https://www.zongweiz.com/research"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:17:57.066960+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1426a1af7d4d8c34a085ef95c3163dcc19a8f029fe1c2f57311c73ca526c34a9", "fetched_at": "2026-08-28T04:07:09.960810+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MrGiovanni/UNetPlusPlus"}, {"content_hash": "44f817137c6e434a513a1162c92ea39ab6892f0027404a964b601ffb30f9e692", "fetched_at": "2026-08-29T10:00:14.850626+00:00", "kind": "homepage", "missing": false, "url": "https://www.zongweiz.com/research"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:17:57.066960+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1426a1af7d4d8c34a085ef95c3163dcc19a8f029fe1c2f57311c73ca526c34a9", "fetched_at": "2026-08-28T04:07:09.960810+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MrGiovanni/UNetPlusPlus"}, {"content_hash": "44f817137c6e434a513a1162c92ea39ab6892f0027404a964b601ffb30f9e692", "fetched_at": "2026-08-29T10:00:14.850626+00:00", "kind": "homepage", "missing": false, "url": "https://www.zongweiz.com/research"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 99, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3061, "days_push": 8, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 77, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}