{"adoption": {"forks": 365, "observed_at": "2026-08-28T04:06:30.319406+00:00", "stars": 2249}, "canonical_url": "https://ross.abutalabs.com/products/unet-segmentation-pytorch-nest-of-unets", "card": {"archived": false, "artifact_type": "library", "description": "Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet", "domain": ["deep-learning", "computer-vision", "image-processing", "healthcare"], "enriched": true, "function": ["machine-learning", "deep-learning", "image-processing", "computer-vision"], "health_score": 20, "homepage": null, "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets"], "name": "bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets", "platform": ["python", "cross-platform"], "pushed_at": "2022-11-28T17:44:40+00:00", "repo": "bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets", "stars": 2249, "tags": ["unet", "semantic-segmentation", "pytorch", "attention-unet", "nested-unet", "medical-imaging", "research-code", "gpu"], "topics": ["unet", "pytorch", "imagesegmentation", "segmentation", "tensorvision", "torchvision", "torch", "python3"], "urls": [], "use_cases": ["segment medical images with unet models in pytorch", "compare unet, attention unet, and nested unet architectures", "train a segmentation model on my own image dataset", "implement unet++ for image segmentation", "compute dice score for segmentation predictions"], "what_it_is": "A PyTorch implementation of several U-Net variants for image segmentation, including UNet, R2U-Net, Attention U-Net, Attention R2U-Net, and Nested UNet (UNet++). It includes training scripts, Dice score evaluation, and layer visualization utilities.", "when_to_avoid": ["you need a production-grade, pip-installable segmentation library with an API", "you require models beyond the U-Net family or modern architectures like transformers", "you need actively maintained code with recent updates and community support"], "when_to_choose": ["you want ready-to-run PyTorch code for multiple U-Net variants in one place", "you are doing research or learning about segmentation architectures like Attention U-Net or UNet++", "you work on medical or biomedical image segmentation tasks"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/unet-segmentation-pytorch-nest-of-unets", "repo": "bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:06:30.319406+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:43:54.282625+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "44c685cd0917db95ee86fb9b43d122eb6016ce588743ac3215d1e72d695fdb72", "fetched_at": "2026-08-28T04:06:30.319406+00:00", "kind": "readme", "missing": false, "url": "https://github.com/bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:06:30.319406+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:43:54.282625+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "44c685cd0917db95ee86fb9b43d122eb6016ce588743ac3215d1e72d695fdb72", "fetched_at": "2026-08-28T04:06:30.319406+00:00", "kind": "readme", "missing": false, "url": "https://github.com/bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:43:54.282625+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "44c685cd0917db95ee86fb9b43d122eb6016ce588743ac3215d1e72d695fdb72", "fetched_at": "2026-08-28T04:06:30.319406+00:00", "kind": "readme", "missing": false, "url": "https://github.com/bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:06:30.319406+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:06:30.319406+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:06:30.319406+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:43:54.282625+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "44c685cd0917db95ee86fb9b43d122eb6016ce588743ac3215d1e72d695fdb72", "fetched_at": "2026-08-28T04:06:30.319406+00:00", "kind": "readme", "missing": false, "url": "https://github.com/bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:06:30.319406+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:06:30.319406+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:43:54.282625+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "44c685cd0917db95ee86fb9b43d122eb6016ce588743ac3215d1e72d695fdb72", "fetched_at": "2026-08-28T04:06:30.319406+00:00", "kind": "readme", "missing": false, "url": "https://github.com/bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:06:30.319406+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:06:30.319406+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:06:30.319406+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:43:54.282625+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "44c685cd0917db95ee86fb9b43d122eb6016ce588743ac3215d1e72d695fdb72", "fetched_at": "2026-08-28T04:06:30.319406+00:00", "kind": "readme", "missing": false, "url": "https://github.com/bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:06:30.319406+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:06:30.319406+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:43:54.282625+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "44c685cd0917db95ee86fb9b43d122eb6016ce588743ac3215d1e72d695fdb72", "fetched_at": "2026-08-28T04:06:30.319406+00:00", "kind": "readme", "missing": false, "url": "https://github.com/bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:43:54.282625+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "44c685cd0917db95ee86fb9b43d122eb6016ce588743ac3215d1e72d695fdb72", "fetched_at": "2026-08-28T04:06:30.319406+00:00", "kind": "readme", "missing": false, "url": "https://github.com/bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:43:54.282625+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "44c685cd0917db95ee86fb9b43d122eb6016ce588743ac3215d1e72d695fdb72", "fetched_at": "2026-08-28T04:06:30.319406+00:00", "kind": "readme", "missing": false, "url": "https://github.com/bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:43:54.282625+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "44c685cd0917db95ee86fb9b43d122eb6016ce588743ac3215d1e72d695fdb72", "fetched_at": "2026-08-28T04:06:30.319406+00:00", "kind": "readme", "missing": false, "url": "https://github.com/bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets"}], "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": 2668, "days_push": 1374, "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}}