{"adoption": {"forks": 367, "observed_at": "2026-08-28T04:06:50.313135+00:00", "stars": 2416}, "canonical_url": "https://ross.abutalabs.com/products/swin-unet", "card": {"archived": false, "artifact_type": "library", "description": "[ECCVW 2022] The codes for the work \"Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation\"", "domain": ["deep-learning", "computer-vision", "healthcare"], "enriched": true, "function": ["machine-learning", "deep-learning", "image-processing", "computer-vision"], "health_score": 32, "homepage": null, "language": "Python", "license": null, "license_family": "other", "maturity": "stable", "member_repos": ["HuCaoFighting/Swin-Unet"], "name": "HuCaoFighting/Swin-Unet", "platform": ["python"], "pushed_at": "2025-05-09T08:44:36+00:00", "repo": "HuCaoFighting/Swin-Unet", "stars": 2416, "tags": ["segmentation", "transformer", "swin-transformer", "unet", "medical-image-segmentation", "research-code", "eccv-2022", "medical-imaging", "gpu", "linux"], "topics": [], "urls": [], "use_cases": ["segment medical images with a pure transformer model", "reproduce Swin-Unet paper results on Synapse and ACDC", "train a UNet-style transformer for organ segmentation", "compare transformer-based segmentation against CNN baselines", "fine-tune Swin Transformer for 2D medical segmentation", "use pretrained Swin weights for downstream segmentation tasks"], "what_it_is": "Official PyTorch implementation of Swin-Unet, a U-shaped pure Transformer model for medical image segmentation, published at ECCV 2022 Medical Computer Vision Workshop. It includes training and testing scripts for the Synapse and ACDC datasets using pretrained Swin Transformer weights.", "when_to_avoid": ["you need a production-ready, licensed, maintained library (no license is provided)", "you need 3D volumetric segmentation out of the box", "you lack GPU memory or pretrained weights, which the model depends on", "you need guaranteed reproducibility across different GPU types"], "when_to_choose": ["you need a pure transformer architecture for 2D medical image segmentation", "you want to reproduce or build on the ECCV 2022 Swin-Unet paper", "you have GPU resources and pretrained Swin-T weights available", "you are researching transformer-based segmentation on Synapse or ACDC datasets"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/swin-unet", "repo": "HuCaoFighting/Swin-Unet", "role": "main", "score": 41}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:06:50.313135+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:33:08.666401+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3f9bfaf449cec4fe1ab9e20e6595ba7237b831527eedc1d26f938c72f1445e62", "fetched_at": "2026-08-28T04:06:50.313135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HuCaoFighting/Swin-Unet"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:06:50.313135+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:33:08.666401+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3f9bfaf449cec4fe1ab9e20e6595ba7237b831527eedc1d26f938c72f1445e62", "fetched_at": "2026-08-28T04:06:50.313135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HuCaoFighting/Swin-Unet"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:33:08.666401+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3f9bfaf449cec4fe1ab9e20e6595ba7237b831527eedc1d26f938c72f1445e62", "fetched_at": "2026-08-28T04:06:50.313135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HuCaoFighting/Swin-Unet"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:06:50.313135+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:06:50.313135+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:06:50.313135+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:33:08.666401+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3f9bfaf449cec4fe1ab9e20e6595ba7237b831527eedc1d26f938c72f1445e62", "fetched_at": "2026-08-28T04:06:50.313135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HuCaoFighting/Swin-Unet"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:06:50.313135+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:06:50.313135+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:33:08.666401+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3f9bfaf449cec4fe1ab9e20e6595ba7237b831527eedc1d26f938c72f1445e62", "fetched_at": "2026-08-28T04:06:50.313135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HuCaoFighting/Swin-Unet"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:06:50.313135+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:06:50.313135+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:06:50.313135+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:33:08.666401+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3f9bfaf449cec4fe1ab9e20e6595ba7237b831527eedc1d26f938c72f1445e62", "fetched_at": "2026-08-28T04:06:50.313135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HuCaoFighting/Swin-Unet"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:06:50.313135+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:06:50.313135+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:33:08.666401+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3f9bfaf449cec4fe1ab9e20e6595ba7237b831527eedc1d26f938c72f1445e62", "fetched_at": "2026-08-28T04:06:50.313135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HuCaoFighting/Swin-Unet"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:33:08.666401+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3f9bfaf449cec4fe1ab9e20e6595ba7237b831527eedc1d26f938c72f1445e62", "fetched_at": "2026-08-28T04:06:50.313135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HuCaoFighting/Swin-Unet"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:33:08.666401+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3f9bfaf449cec4fe1ab9e20e6595ba7237b831527eedc1d26f938c72f1445e62", "fetched_at": "2026-08-28T04:06:50.313135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HuCaoFighting/Swin-Unet"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:33:08.666401+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3f9bfaf449cec4fe1ab9e20e6595ba7237b831527eedc1d26f938c72f1445e62", "fetched_at": "2026-08-28T04:06:50.313135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HuCaoFighting/Swin-Unet"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 20, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+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": 1948, "days_push": 481, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 41, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}