| --- |
| license: other |
| task_categories: |
| - image-segmentation |
| language: |
| - en |
| - zh |
| pretty_name: GenSegDataset Processed Medical Segmentation Backup |
| --- |
| |
| # GenSegDataset |
|
|
| ## English |
|
|
| This repository is a processed backup of medical image segmentation datasets used by the SegGen/NPJ experiments. |
|
|
| Each `*.tar` archive expands to one dataset directory in the unified layout: |
|
|
| ```text |
| <dataset>/<protocol>/<split>/{images,masks}/ |
| <dataset>/metadata.json |
| <dataset>/manifest.jsonl |
| ``` |
|
|
| The archives contain extracted and standardized PNG image/mask pairs. Splits are already prepared; users do not need to unzip original raw sources or create train/val/test splits again. |
|
|
| Before upload, each dataset was checked for: |
|
|
| - existing `train/val/test` split directories, |
| - `images/` and `masks/` pairing by filename stem, |
| - `metadata.json`, |
| - `manifest.jsonl`. |
|
|
| ## 中文 |
|
|
| 本仓库是 SegGen/NPJ 实验使用的医学图像分割数据集的已处理备份。 |
|
|
| 每个 `*.tar` 解压后都是一个已经标准化好的数据集目录，统一结构如下： |
|
|
| ```text |
| <dataset>/<protocol>/<split>/{images,masks}/ |
| <dataset>/metadata.json |
| <dataset>/manifest.jsonl |
| ``` |
|
|
| 这些压缩包中保存的是已经解压、标准化并划分好的 PNG 图像/掩码对，不是原始 raw zip。使用时不需要重新解压原始数据，也不需要重新划分 train/val/test。 |
|
|
| 上传前已检查： |
|
|
| - 是否存在 `train/val/test` 划分目录； |
| - `images/` 与 `masks/` 是否按文件 stem 一一对应； |
| - 是否存在 `metadata.json`； |
| - 是否存在 `manifest.jsonl`。 |
|
|
| ## Inventory / 数据清单 |
|
|
| | Dataset 数据集 | Archive 压缩包 | Server size 服务器大小 | Total images 总图像数 | Protocols train/val/test 划分 | |
| |---|---:|---:|---:|---| |
| | `acdc_png` | `acdc_png.tar` | 61M | 726 | official:136/210/380 | |
| | `bus_bra` | `bus_bra.tar` | 171M | 1875 | official:1312/188/375 | |
| | `busi` | `busi.tar` | 17G | 4535 | fold01:545/78/157; fold02:545/78/157; fold03:546/78/156; fold04:547/78/155; fold05:547/78/155; synthonly:400/78/157 | |
| | `consep` | `consep.tar` | 88M | 656 | official:352/80/224 | |
| | `cvc_clinicdb` | `cvc_clinicdb.tar` | 938M | 612 | official:490/61/61 | |
| | `cvc_colondb` | `cvc_colondb.tar` | 50M | 380 | official:266/38/76 | |
| | `drive` | `drive.tar` | 1.8M | 20 | official:14/2/4 | |
| | `endoscene` | `endoscene.tar` | 107M | 912 | official:547/183/182 | |
| | `etis_larib` | `etis_larib.tar` | 30M | 196 | official:137/19/40 | |
| | `fives` | `fives.tar` | 311M | 800 | official:480/120/200 | |
| | `ham10000` | `ham10000.tar` | 1.7G | 10015 | holdout:7010/1002/2003 | |
| | `idridd_segmentation` | `idridd_segmentation.tar` | 3.6M | 405 | fold01:43/11/27; fold02:43/11/27; fold03:43/11/27; fold04:43/11/27; fold05:44/10/27 | |
| | `kvasir_seg` | `kvasir_seg.tar` | 17G | 1000 | official:800/100/100 | |
| | `medsegdb_isic2018` | `medsegdb_isic2018.tar` | 24G | 5194 | holdout:2582/369/737; synthonly:400/369/737 | |
| | `medsegdb_kits19` | `medsegdb_kits19.tar` | 1.3G | 20080 | fold01:2832/479/705; fold02:2966/231/819; fold03:3036/465/515; fold04:2854/286/876; fold05:2510/405/1101 | |
| | `monuseg` | `monuseg.tar` | 411M | 816 | official:496/96/224 | |
| | `pannuke_semantic` | `pannuke_semantic.tar` | 1.2G | 23703 | fold01:2722/2523/2656; fold02:2656/2722/2523; fold03:2523/2656/2722 | |
| | `ph2` | `ph2.tar` | 27M | 200 | holdout:140/20/40 | |
| | `refuge2` | `refuge2.tar` | 133M | 1200 | official:400/400/400 | |
| | `udiat` | `udiat.tar` | 17M | 163 | official:114/16/33 | |
|
|
| ## Task grouping / 任务分组 |
|
|
| | Modality 模态 | Dataset(s) 数据集 | Task 任务 | |
| |---|---|---| |
| | Dermoscopy 皮肤镜 | `medsegdb_isic2018`, `ham10000`, `ph2` | Skin lesion segmentation 皮肤病灶分割 | |
| | Colonoscopy / Endoscopy 结肠镜/内镜 | `kvasir_seg`, `cvc_clinicdb`, `cvc_colondb`, `endoscene`, `etis_larib` | Polyp segmentation 息肉分割 | |
| | Breast ultrasound 乳腺超声 | `busi`, `bus_bra`, `udiat` | Breast lesion segmentation 乳腺病灶分割 | |
| | Fundus 眼底 | `fives`, `drive` | Vessel segmentation 血管分割 | |
| | Fundus 眼底 | `refuge2` | Optic disc/cup segmentation 视盘/视杯分割 | |
| | Fundus 眼底 | `idridd_segmentation` | Diabetic retinopathy lesion / optic disc segmentation 糖网病灶/视盘分割 | |
| | Histopathology 病理 | `pannuke_semantic` | Semantic nuclei segmentation / cell typing 细胞核语义分割/分类 | |
| | Histopathology 病理 | `monuseg`, `consep` | Nuclei segmentation 细胞核分割 | |
| | CT | `medsegdb_kits19` | Kidney/tumor foreground segmentation 肾/肿瘤前景分割 | |
| | MRI | `acdc_png` | Cardiac structure segmentation 心脏结构分割 | |
|
|
| ## Notes / 备注 |
|
|
| - `HF_UPLOAD_INVENTORY.tsv` contains the same split/count audit in tabular form. |
| - `HF_UPLOAD_INVENTORY.tsv` 中保存了同样的划分和数量审计表。 |
| - Some older archives existed before this update; missing datasets were added from `/home/wzhang/LSC/Dataset/Segmentation/processed_unified` on 2026-07-01. |
| - 部分旧压缩包在本次更新前已经存在；本次已从服务器 processed_unified 目录补齐缺失数据集。 |
| |
