{
 "meta": {
  "title": "SOMA 手部数据图谱",
  "updated": "2026-11-02",
  "goal": "从单目 RGB 恢复 SOMA hand 的 shape 与 pose：按数据来源和标注方法整理可用的手部数据集。",
  "sources": [
   {
    "id": "ego",
    "name": "第一视角",
    "desc": "头戴或胸前相机拍的真实视频"
   },
   {
    "id": "egoexo",
    "name": "第一视角 + 外视角",
    "desc": "同步的头戴相机和固定相机"
   },
   {
    "id": "exo",
    "name": "外视角多相机",
    "desc": "棚内固定多相机，没有头戴视角"
   },
   {
    "id": "scan",
    "name": "扫描仪",
    "desc": "静态手势的多相机三维扫描"
   },
   {
    "id": "wild",
    "name": "野外图像 / 视频",
    "desc": "网络或日常拍摄，没有标定装置"
   },
   {
    "id": "synth",
    "name": "合成渲染",
    "desc": "渲染或重光照生成的图像"
   },
   {
    "id": "norgb",
    "name": "无 RGB",
    "desc": "只有动捕、事件相机或黑白相机"
   }
  ],
  "methods": [
   {
    "id": "scan",
    "name": "三维扫描配准",
    "short": "扫描",
    "steps": [
     "多相机扫描仪拍静态手势",
     "重建亚毫米级网格",
     "关键点三角化",
     "配准 MANO"
    ],
    "trust": "最高。直接测得手的表面，是目前最可靠的 shape 真值。",
    "issues": "只有静态手势，没有手物交互，也没有第一视角。",
    "route": "R6"
   },
   {
    "id": "marker",
    "name": "光学 marker 动捕 + 拟合",
    "short": "光学动捕",
    "steps": [
     "手上贴反光 marker",
     "Vicon / OptiTrack 跟踪",
     "逐人标定 shape",
     "拟合 MANO 或 SMPL-X"
    ],
    "trust": "高。shape 逐人标定，pose 不受相机遮挡影响。",
    "issues": "marker 会出现在 RGB 里；人数通常很少；重遮挡时 marker 丢失。",
    "route": "R1"
   },
   {
    "id": "rgbd",
    "name": "多视角 RGB-D 拟合",
    "short": "RGB-D 拟合",
    "steps": [
     "多台 RGB-D 同步拍摄",
     "2D 关键点（人工或模型）+ 深度",
     "多视角联合优化",
     "拟合 MANO，人工核验"
    ],
    "trust": "中。受深度噪声和 2D 精度限制，shape 可用但偏粗。",
    "issues": "物体遮挡时手指误差大；HOnnotate 一类方法依赖初始化。",
    "route": "R1"
   },
   {
    "id": "mvkp",
    "name": "多视角关键点三角化",
    "short": "关键点三角化",
    "steps": [
     "多相机 RGB",
     "2D 关键点（人工或模型）",
     "三角化得到 3D 关键点",
     "可选：拟合 MANO"
    ],
    "trust": "中低。shape 只由关键点约束；只给关键点时没有 shape。",
    "issues": "模型预标注会带入 HaMeR 等方法的偏差。",
    "route": "R1 / R3"
   },
   {
    "id": "device",
    "name": "设备追踪",
    "short": "设备追踪",
    "steps": [
     "头显、手套或 IMU",
     "设备内置手部追踪",
     "输出关节或设备自带手模型"
    ],
    "trust": "低。精度依赖设备，通常没有公开误差。",
    "issues": "关节定义因设备而异，需要逐个对齐。",
    "route": "R3"
   },
   {
    "id": "synth",
    "name": "合成渲染",
    "short": "合成",
    "steps": [
     "参数化手 + 动作库",
     "渲染（光照、材质、相机）",
     "直接导出真值"
    ],
    "trust": "真值精确，但 shape 分布取决于采样方式。",
    "issues": "外观和光照与真实图像有域差。",
    "route": "R1 / R2"
   },
   {
    "id": "manual2d",
    "name": "人工 2D 标注",
    "short": "人工 2D",
    "steps": [
     "图像",
     "模型预标注（可选）",
     "人工标注或修正 2D 关键点"
    ],
    "trust": "没有 3D 信息，只提供 2D 监督。",
    "issues": "遮挡点的标注口径不一。",
    "route": "R4"
   },
   {
    "id": "pseudo",
    "name": "单目模型伪标签",
    "short": "伪标签",
    "steps": [
     "单目视频",
     "HaMeR 或自研管线预测 MANO",
     "可选：修复与筛选"
    ],
    "trust": "最低。不能当 shape 真值，只适合弱监督或预训练。",
    "issues": "继承预测模型自身的系统偏差。",
    "route": "R7"
   }
  ],
  "tiers": [
   {
    "id": "S1",
    "name": "扫描配准",
    "desc": "直接测得表面"
   },
   {
    "id": "S2",
    "name": "动捕逐人标定",
    "desc": "marker 约束的逐人 shape"
   },
   {
    "id": "S3",
    "name": "RGB-D 拟合",
    "desc": "深度约束，偏粗"
   },
   {
    "id": "S4",
    "name": "关键点拟合",
    "desc": "只靠关键点约束"
   },
   {
    "id": "S5",
    "name": "伪标签",
    "desc": "不可作为 shape 真值"
   },
   {
    "id": "SY",
    "name": "合成精确",
    "desc": "精确，但分布看采样"
   },
   {
    "id": "-",
    "name": "无 shape",
    "desc": "只有关节或 2D"
   }
  ],
  "statuses": [
   {
    "id": "used",
    "name": "已在使用",
    "desc": "九源、WiLoR 14 源或基准中已经用到"
   },
   {
    "id": "surveyed",
    "name": "团队已调研",
    "desc": "已在团队图册中，尚未进训练"
   },
   {
    "id": "retired",
    "name": "不再使用",
    "desc": "当前不再使用"
   },
   {
    "id": "p0",
    "name": "P0 新增",
    "desc": "建议优先接入"
   },
   {
    "id": "p1",
    "name": "P1 新增",
    "desc": "P0 之后接入"
   },
   {
    "id": "p2",
    "name": "P2 新增",
    "desc": "有余力时接入"
   },
   {
    "id": "own",
    "name": "自采",
    "desc": "我们自己的采集"
   },
   {
    "id": "no",
    "name": "不建议",
    "desc": "不满足真实 RGB 或真值条件"
   }
  ],
  "routes": [
   {
    "id": "R0",
    "name": "原生 SOMA",
    "from": "SOMA 拟合结果",
    "how": "直接使用。",
    "shape": true
   },
   {
    "id": "R1",
    "name": "MANO → SOMA",
    "from": "MANO 参数或网格",
    "how": "用 SOMAHandLayer 的 MANO 后端映射到 SOMA 拓扑，再重拟合 SOMA 原生 20 维 identity 和 pose；按数据集统计顶点残差，残差大的帧不监督 shape。",
    "shape": true
   },
   {
    "id": "R2",
    "name": "SMPL-X → SOMA",
    "from": "SMPL-X / SMPL-H",
    "how": "取手部 MANO 部分走 R1；或用 SOMA-X 的 SMPL-X 身体后端整体转换。手型跟随身体 shape，分布偏窄。",
    "shape": true
   },
   {
    "id": "R3",
    "name": "3D 关键点 → SOMA pose",
    "from": "21 / 25 点 3D 关节",
    "how": "先定 MANO 21 点（指尖为网格顶点）与 SOMA 关节的对应，只拟合 pose；shape 固定，不参与监督。",
    "shape": false
   },
   {
    "id": "R4",
    "name": "2D 关键点",
    "from": "2D 关键点",
    "how": "不转换。训练时用重投影损失监督。",
    "shape": false
   },
   {
    "id": "R5",
    "name": "MHR → SOMA",
    "from": "MHR 参数",
    "how": "SOMAHandLayer 原生支持 MHR 后端，可直接映射。SAM 3D Body 输出 MHR，可当野外图像的伪标签教师。",
    "shape": true
   },
   {
    "id": "R6",
    "name": "扫描 → SOMA",
    "from": "扫描网格",
    "how": "直接把 SOMA 原生 shape + pose 拟合到扫描网格，是最好的 shape 监督和评测来源。",
    "shape": true
   },
   {
    "id": "R7",
    "name": "伪标签",
    "from": "预测的 MANO",
    "how": "可走 R1 转换，但只作弱监督或预训练，不监督 shape。",
    "shape": false
   }
  ],
  "teamLinks": [
   {
    "label": "团队图册：WiLoR 14 源 + 合成数据",
    "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_dataset_browser_20261013/index.html"
   },
   {
    "label": "团队图册：第一人称具身数据集",
    "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/egocentric_embodied_datasets_20261020/index.html"
   },
   {
    "label": "团队图册：2D 数据集",
    "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_2d_dataset_browser_20261013/index.html"
   },
   {
    "label": "团队视频：九源 MANO GT 叠加（20s）",
    "url": "https://huggingface.co/datasets/yangzijing/nine-source-hand-data-review-videos-20s/tree/main"
   }
  ]
 },
 "datasets": [
  {
   "id": "arctic",
   "name": "ARCTIC",
   "year": "CVPR 2023",
   "status": "used",
   "tags": [
    "九源",
    "WiLoR 14 源",
    "基准"
   ],
   "source": "egoexo",
   "method": "marker",
   "gt": "MANO + SMPL-X",
   "tier": "S2",
   "route": "R1",
   "camera": "8 个固定 RGB + 1 个第一视角 RGB",
   "rig": {
    "ego": true,
    "exo": 8
   },
   "subjects": "10 人",
   "scale": "约 210 万张图，339 个序列",
   "fills": "双手操作铰接物体，带第一视角和光学真值。",
   "risk": "人数少，shape 分布窄。",
   "links": [
    {
     "label": "论文 arXiv:2204.13662",
     "url": "https://arxiv.org/abs/2204.13662"
    }
   ],
   "team": [
    {
     "label": "团队图册：WiLoR 14 源 + 合成数据",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_dataset_browser_20261013/index.html"
    },
    {
     "label": "团队视频：九源 MANO GT 叠加（20s）",
     "url": "https://huggingface.co/datasets/yangzijing/nine-source-hand-data-review-videos-20s/tree/main"
    }
   ]
  },
  {
   "id": "hot3d",
   "name": "HOT3D",
   "year": "CVPR 2025",
   "status": "used",
   "tags": [
    "九源",
    "WiLoR 14 源",
    "基准"
   ],
   "source": "ego",
   "method": "marker",
   "gt": "MANO / UmeTrack",
   "tier": "S2",
   "route": "R1",
   "camera": "Aria RGB 鱼眼 + Quest 3 黑白",
   "rig": {
    "ego": true,
    "fisheye": true
   },
   "subjects": "19 人",
   "scale": "370 万张以上，约 833 分钟",
   "fills": "真实第一视角鱼眼数据，光学动捕真值。",
   "risk": "我们的模型在这里 RR 偏差大，先核对裁剪和去畸变与相机模型是否一致。",
   "links": [
    {
     "label": "项目主页",
     "url": "https://facebookresearch.github.io/hot3d/"
    }
   ],
   "team": [
    {
     "label": "团队图册：WiLoR 14 源 + 合成数据",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_dataset_browser_20261013/index.html"
    },
    {
     "label": "团队视频：九源 MANO GT 叠加（20s）",
     "url": "https://huggingface.co/datasets/yangzijing/nine-source-hand-data-review-videos-20s/tree/main"
    }
   ]
  },
  {
   "id": "h2o",
   "name": "H2O",
   "year": "ICCV 2021",
   "status": "used",
   "tags": [
    "九源",
    "基准"
   ],
   "source": "egoexo",
   "method": "rgbd",
   "gt": "MANO",
   "tier": "S3",
   "route": "R1",
   "camera": "5 台 Azure Kinect RGB-D，其中 1 台头戴",
   "rig": {
    "ego": true,
    "exo": 4,
    "depth": true
   },
   "subjects": "4 人",
   "scale": "571,645 张图，184 个序列",
   "fills": "头戴相机与 Femto Bolt 同一传感器族，相机域最接近我们的采集。",
   "risk": "人数很少。",
   "links": [
    {
     "label": "论文 arXiv:2104.11181",
     "url": "https://arxiv.org/abs/2104.11181"
    }
   ],
   "team": [
    {
     "label": "团队视频：九源 MANO GT 叠加（20s）",
     "url": "https://huggingface.co/datasets/yangzijing/nine-source-hand-data-review-videos-20s/tree/main"
    }
   ]
  },
  {
   "id": "hoi4d",
   "name": "HOI4D",
   "year": "CVPR 2022",
   "status": "retired",
   "tags": [
    "九源"
   ],
   "source": "ego",
   "method": "rgbd",
   "gt": "MANO",
   "tier": "S3",
   "route": "R1",
   "camera": "头戴 RGB-D",
   "rig": {
    "ego": true,
    "depth": true
   },
   "subjects": "9 人",
   "scale": "约 240 万帧，4,000 个序列",
   "fills": "第一视角的类别级手物交互。",
   "risk": "右手偏置明显，左手只占约 10%。",
   "links": [
    {
     "label": "论文 arXiv:2203.01577",
     "url": "https://arxiv.org/abs/2203.01577"
    }
   ],
   "team": [
    {
     "label": "团队视频：九源 MANO GT 叠加（20s）",
     "url": "https://huggingface.co/datasets/yangzijing/nine-source-hand-data-review-videos-20s/tree/main"
    }
   ]
  },
  {
   "id": "dexycb",
   "name": "DexYCB",
   "year": "CVPR 2021",
   "status": "used",
   "tags": [
    "九源",
    "WiLoR 14 源"
   ],
   "source": "exo",
   "method": "rgbd",
   "gt": "MANO",
   "tier": "S3",
   "route": "R1",
   "camera": "8 台 RGB-D",
   "rig": {
    "exo": 8,
    "depth": true
   },
   "subjects": "10 人",
   "scale": "约 58.2 万张图，1,000 个序列",
   "fills": "抓取 YCB 物体，人工多视角 2D 加深度拟合。",
   "links": [
    {
     "label": "论文 arXiv:2104.04631",
     "url": "https://arxiv.org/abs/2104.04631"
    }
   ],
   "team": [
    {
     "label": "团队图册：WiLoR 14 源 + 合成数据",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_dataset_browser_20261013/index.html"
    },
    {
     "label": "团队视频：九源 MANO GT 叠加（20s）",
     "url": "https://huggingface.co/datasets/yangzijing/nine-source-hand-data-review-videos-20s/tree/main"
    }
   ],
   "risk": ""
  },
  {
   "id": "ho3d",
   "name": "HO3D v3",
   "year": "CVPR 2020",
   "status": "used",
   "tags": [
    "九源",
    "WiLoR 14 源"
   ],
   "source": "exo",
   "method": "rgbd",
   "gt": "MANO",
   "tier": "S3",
   "route": "R1",
   "camera": "1 到 5 台 RGB-D",
   "rig": {
    "exo": 5,
    "depth": true
   },
   "subjects": "10 人",
   "scale": "103,462 张图",
   "fills": "单手与物体交互，HOnnotate 联合拟合。",
   "links": [
    {
     "label": "论文 arXiv:1907.01481",
     "url": "https://arxiv.org/abs/1907.01481"
    }
   ],
   "team": [
    {
     "label": "团队图册：WiLoR 14 源 + 合成数据",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_dataset_browser_20261013/index.html"
    },
    {
     "label": "团队视频：九源 MANO GT 叠加（20s）",
     "url": "https://huggingface.co/datasets/yangzijing/nine-source-hand-data-review-videos-20s/tree/main"
    }
   ],
   "risk": ""
  },
  {
   "id": "h2o3d",
   "name": "H2O3D",
   "year": "2022",
   "status": "used",
   "tags": [
    "WiLoR 14 源"
   ],
   "source": "exo",
   "method": "rgbd",
   "gt": "MANO",
   "tier": "S3",
   "route": "R1",
   "camera": "5 台 RGB-D",
   "rig": {
    "exo": 5,
    "depth": true
   },
   "subjects": "待核",
   "scale": "76,340 张图，85 个序列",
   "fills": "双手与物体交互。",
   "team": [
    {
     "label": "团队图册：WiLoR 14 源 + 合成数据",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_dataset_browser_20261013/index.html"
    }
   ],
   "links": [],
   "risk": ""
  },
  {
   "id": "interhand",
   "name": "InterHand2.6M",
   "year": "ECCV 2020",
   "status": "used",
   "tags": [
    "WiLoR 14 源"
   ],
   "source": "exo",
   "method": "mvkp",
   "gt": "MANO",
   "tier": "S4",
   "route": "R1",
   "camera": "棚内多相机 RGB",
   "rig": {
    "exo": 12
   },
   "subjects": "待核",
   "scale": "5 fps 版 2,590,347 张",
   "fills": "双手交互和丰富的手指姿态。",
   "links": [
    {
     "label": "论文 arXiv:2008.09309",
     "url": "https://arxiv.org/abs/2008.09309"
    }
   ],
   "team": [
    {
     "label": "团队图册：WiLoR 14 源 + 合成数据",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_dataset_browser_20261013/index.html"
    }
   ],
   "risk": ""
  },
  {
   "id": "reinterhand",
   "name": "Re:InterHand",
   "year": "NeurIPS 2023",
   "status": "used",
   "tags": [
    "WiLoR 14 源"
   ],
   "source": "synth",
   "method": "mvkp",
   "gt": "MANO",
   "tier": "S4",
   "route": "R1",
   "camera": "真实动作重光照渲染，含第一视角",
   "rig": {
    "synth": true,
    "ego": true
   },
   "scale": "1,526,795 张图，有效 147,745 帧",
   "fills": "真实双手动作配多样光照，含第一视角渲染。",
   "team": [
    {
     "label": "团队图册：WiLoR 14 源 + 合成数据",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_dataset_browser_20261013/index.html"
    }
   ],
   "links": [],
   "risk": "",
   "subjects": ""
  },
  {
   "id": "freihand",
   "name": "FreiHAND",
   "year": "ICCV 2019",
   "status": "used",
   "tags": [
    "WiLoR 14 源"
   ],
   "source": "exo",
   "method": "mvkp",
   "gt": "MANO",
   "tier": "S4",
   "route": "R1",
   "camera": "棚内多相机，绿幕换背景",
   "rig": {
    "exo": 8
   },
   "subjects": "32 人",
   "scale": "训练 130,240 张，测试 3,960 张",
   "fills": "单手姿态与 shape 的经典基准。",
   "links": [
    {
     "label": "论文 arXiv:1909.04349",
     "url": "https://arxiv.org/abs/1909.04349"
    }
   ],
   "team": [
    {
     "label": "团队图册：WiLoR 14 源 + 合成数据",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_dataset_browser_20261013/index.html"
    }
   ],
   "risk": ""
  },
  {
   "id": "mtc",
   "name": "MTC",
   "year": "CVPR 2019",
   "status": "used",
   "tags": [
    "WiLoR 14 源"
   ],
   "source": "exo",
   "method": "mvkp",
   "gt": "3D 关键点",
   "tier": "-",
   "route": "R3",
   "camera": "Panoptic 棚内多相机",
   "rig": {
    "exo": 12
   },
   "subjects": "40 人",
   "scale": "清洗后约 11.1 万个手样本",
   "fills": "全身动作中的手，视角多样。",
   "links": [
    {
     "label": "论文 arXiv:1812.01598",
     "url": "https://arxiv.org/abs/1812.01598"
    }
   ],
   "team": [
    {
     "label": "团队图册：WiLoR 14 源 + 合成数据",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_dataset_browser_20261013/index.html"
    }
   ],
   "risk": ""
  },
  {
   "id": "bedlam",
   "name": "BEDLAM",
   "year": "CVPR 2023",
   "status": "used",
   "tags": [
    "WiLoR 14 源"
   ],
   "source": "synth",
   "method": "synth",
   "gt": "SMPL-X",
   "tier": "SY",
   "route": "R2",
   "camera": "合成渲染，非第一视角",
   "rig": {
    "synth": true
   },
   "scale": "10,450 个序列，约 160 万张，约 15 小时",
   "fills": "全身场景中的手，背景与光照多样。",
   "risk": "手型跟随 SMPL-X 身体 shape，分布偏窄。",
   "links": [
    {
     "label": "论文 arXiv:2306.16940",
     "url": "https://arxiv.org/abs/2306.16940"
    }
   ],
   "team": [
    {
     "label": "团队图册：WiLoR 14 源 + 合成数据",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_dataset_browser_20261013/index.html"
    }
   ],
   "subjects": ""
  },
  {
   "id": "rhd",
   "name": "RHD",
   "year": "ICCV 2017",
   "status": "used",
   "tags": [
    "WiLoR 14 源"
   ],
   "source": "synth",
   "method": "synth",
   "gt": "3D 关键点",
   "tier": "-",
   "route": "R3",
   "camera": "合成渲染",
   "rig": {
    "synth": true
   },
   "scale": "训练 41,258 张，测试 2,728 张",
   "fills": "早期合成手部关键点数据。",
   "links": [
    {
     "label": "论文 arXiv:1705.01389",
     "url": "https://arxiv.org/abs/1705.01389"
    }
   ],
   "team": [
    {
     "label": "团队图册：WiLoR 14 源 + 合成数据",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_dataset_browser_20261013/index.html"
    }
   ],
   "risk": "",
   "subjects": ""
  },
  {
   "id": "egorenderer",
   "name": "EgoRenderer V005 / V006",
   "year": "2026",
   "status": "used",
   "tags": [
    "自有合成"
   ],
   "source": "synth",
   "method": "synth",
   "gt": "原生手部参数；拟合 MANO / SOMA 为非 GT 辅助标注",
   "tier": "SY",
   "route": "R1",
   "camera": "第一视角合成渲染",
   "rig": {
    "synth": true,
    "ego": true
   },
   "scale": "V005：1,314 源组 / 2,425 历史包；V006 ARCTIC：301 源动作，每条只生产 1 份",
   "fills": "可控的第一视角合成数据。",
   "risk": "V005 参数附件更新沿用原 RGB；V006 渲染使用原生手，不使用拟合参数生成像素。当前只保留每动作一份生产目标，历史额外变体不计入目标。辅助拟合与训练资格另行登记。",
   "team": [
    {
     "label": "团队图册：WiLoR 14 源 + 合成数据",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_dataset_browser_20261013/index.html"
    }
   ],
   "links": [],
   "subjects": ""
  },
  {
   "id": "cocowb",
   "name": "COCO-WholeBody",
   "year": "ECCV 2020",
   "status": "used",
   "tags": [
    "WiLoR 14 源"
   ],
   "source": "wild",
   "method": "manual2d",
   "gt": "2D 关键点",
   "tier": "-",
   "route": "R4",
   "camera": "网络图像",
   "rig": {
    "wild": true
   },
   "scale": "约 20 万张图",
   "fills": "野外图像的 2D 监督。",
   "links": [
    {
     "label": "论文 arXiv:2007.11858",
     "url": "https://arxiv.org/abs/2007.11858"
    }
   ],
   "team": [
    {
     "label": "团队图册：WiLoR 14 源 + 合成数据",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_dataset_browser_20261013/index.html"
    }
   ],
   "risk": "",
   "subjects": ""
  },
  {
   "id": "halpe",
   "name": "Halpe",
   "year": "2020",
   "status": "used",
   "tags": [
    "WiLoR 14 源"
   ],
   "source": "wild",
   "method": "manual2d",
   "gt": "2D 关键点",
   "tier": "-",
   "route": "R4",
   "camera": "网络图像",
   "rig": {
    "wild": true
   },
   "scale": "约 4 万张训练图",
   "fills": "野外图像的 2D 监督。",
   "team": [
    {
     "label": "团队图册：WiLoR 14 源 + 合成数据",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_dataset_browser_20261013/index.html"
    }
   ],
   "links": [],
   "risk": "",
   "subjects": ""
  },
  {
   "id": "mpiinzsl",
   "name": "MPII + NZSL",
   "year": "CVPR 2017",
   "status": "used",
   "tags": [
    "WiLoR 14 源"
   ],
   "source": "wild",
   "method": "manual2d",
   "gt": "2D 关键点",
   "tier": "-",
   "route": "R4",
   "camera": "网络图像与手语视频",
   "rig": {
    "wild": true
   },
   "scale": "2,800 只人工标注的手",
   "fills": "人工 2D 手部关键点。",
   "links": [
    {
     "label": "论文 arXiv:1704.07809",
     "url": "https://arxiv.org/abs/1704.07809"
    }
   ],
   "team": [
    {
     "label": "团队图册：WiLoR 14 源 + 合成数据",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_dataset_browser_20261013/index.html"
    }
   ],
   "risk": "",
   "subjects": ""
  },
  {
   "id": "ego4d",
   "name": "Ego4D（P3R3 伪标签）",
   "year": "CVPR 2022",
   "status": "used",
   "tags": [
    "九源（伪标签）"
   ],
   "source": "wild",
   "method": "pseudo",
   "gt": "预测 MANO",
   "tier": "S5",
   "route": "R7",
   "camera": "多种头戴相机",
   "rig": {
    "ego": true,
    "wild": true
   },
   "fills": "海量真实第一视角外观。",
   "risk": "P3R3 管线预测的 MANO，不是训练真值。",
   "team": [
    {
     "label": "团队视频：九源 MANO GT 叠加（20s）",
     "url": "https://huggingface.co/datasets/yangzijing/nine-source-hand-data-review-videos-20s/tree/main"
    }
   ],
   "links": [],
   "subjects": "",
   "scale": ""
  },
  {
   "id": "epic",
   "name": "EPIC-KITCHENS（P3R3 伪标签）",
   "year": "2018 / 2022",
   "status": "used",
   "tags": [
    "九源（伪标签）"
   ],
   "source": "wild",
   "method": "pseudo",
   "gt": "预测 MANO",
   "tier": "S5",
   "route": "R7",
   "camera": "头戴 GoPro",
   "rig": {
    "ego": true,
    "wild": true
   },
   "fills": "厨房场景的真实第一视角。",
   "risk": "P3R3 管线预测的 MANO，不是训练真值。",
   "team": [
    {
     "label": "团队视频：九源 MANO GT 叠加（20s）",
     "url": "https://huggingface.co/datasets/yangzijing/nine-source-hand-data-review-videos-20s/tree/main"
    }
   ],
   "links": [],
   "subjects": "",
   "scale": ""
  },
  {
   "id": "egodex",
   "name": "EgoDex",
   "year": "2025",
   "status": "used",
   "tags": [
    "九源（伪标签）",
    "第一人称图册"
   ],
   "source": "ego",
   "method": "device",
   "gt": "25 个 3D 关节（ARKit）",
   "tier": "-",
   "route": "R3",
   "camera": "Apple Vision Pro",
   "rig": {
    "ego": true
   },
   "scale": "约 829 小时",
   "fills": "大规模第一视角灵巧操作，带设备追踪的关节。",
   "risk": "关节来自设备追踪，团队另有 P3R3 预测 MANO，都不能监督 shape。",
   "links": [
    {
     "label": "论文 arXiv:2505.11709",
     "url": "https://arxiv.org/abs/2505.11709"
    }
   ],
   "team": [
    {
     "label": "团队图册：第一人称具身数据集",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/egocentric_embodied_datasets_20261020/index.html"
    },
    {
     "label": "团队视频：九源 MANO GT 叠加（20s）",
     "url": "https://huggingface.co/datasets/yangzijing/nine-source-hand-data-review-videos-20s/tree/main"
    }
   ],
   "subjects": ""
  },
  {
   "id": "egopressure",
   "name": "EgoPressure",
   "year": "CVPR 2025",
   "status": "surveyed",
   "tags": [
    "第一人称图册"
   ],
   "source": "egoexo",
   "method": "rgbd",
   "gt": "MANO",
   "tier": "S3",
   "route": "R1",
   "camera": "头戴相机 + 多台外视角 RGB-D",
   "rig": {
    "ego": true,
    "exo": 7,
    "depth": true
   },
   "fills": "手与表面接触的压力，带第一视角。",
   "risk": "HaMeR 初始化后用多视角 RGB-D、分割、压力和时序约束拟合 MANO，手上没有 marker。",
   "links": [
    {
     "label": "论文 arXiv:2409.02224",
     "url": "https://arxiv.org/abs/2409.02224"
    }
   ],
   "team": [
    {
     "label": "团队图册：第一人称具身数据集",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/egocentric_embodied_datasets_20261020/index.html"
    }
   ],
   "subjects": "",
   "scale": ""
  },
  {
   "id": "egoemg",
   "name": "EgoEMG",
   "year": "2026",
   "status": "surveyed",
   "tags": [
    "第一人称图册"
   ],
   "source": "ego",
   "method": "marker",
   "gt": "MANO（光捕 marker 经 markers2mano 拟合）",
   "tier": "S2",
   "route": "R1",
   "camera": "头戴 GoPro 60 FPS + 26 相机光学动捕",
   "rig": {
    "ego": true
   },
   "fills": "第一视角与肌电同步，光学动捕真值。",
   "links": [
    {
     "label": "论文 arXiv:2605.05712",
     "url": "https://arxiv.org/abs/2605.05712"
    }
   ],
   "team": [
    {
     "label": "团队图册：第一人称具身数据集",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/egocentric_embodied_datasets_20261020/index.html"
    }
   ],
   "risk": "",
   "subjects": "",
   "scale": ""
  },
  {
   "id": "hocap",
   "name": "HO-Cap",
   "year": "2024",
   "status": "surveyed",
   "tags": [
    "第一人称图册"
   ],
   "source": "egoexo",
   "method": "rgbd",
   "gt": "MANO",
   "tier": "S3",
   "route": "R1",
   "camera": "多台 RGB-D + HoloLens 第一视角 RGB",
   "rig": {
    "ego": true,
    "exo": 8,
    "depth": true
   },
   "fills": "手物交互，含第一视角。",
   "risk": "多视角 RGB-D 与关键点约束拟合 MANO，不使用光捕。",
   "team": [
    {
     "label": "团队图册：第一人称具身数据集",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/egocentric_embodied_datasets_20261020/index.html"
    }
   ],
   "links": [],
   "subjects": "",
   "scale": ""
  },
  {
   "id": "taco",
   "name": "TACO",
   "year": "CVPR 2024",
   "status": "surveyed",
   "tags": [
    "第一人称图册"
   ],
   "source": "egoexo",
   "method": "mvkp",
   "gt": "MANO",
   "tier": "S4",
   "route": "R1",
   "camera": "多台外视角 + 1 个第一视角",
   "rig": {
    "ego": true,
    "exo": 12
   },
   "fills": "双手使用工具的交互。",
   "risk": "多视角 MMPose 三角化后做 MANO 接触与时序拟合，手上没有光捕。",
   "team": [
    {
     "label": "团队图册：第一人称具身数据集",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/egocentric_embodied_datasets_20261020/index.html"
    }
   ],
   "links": [],
   "subjects": "",
   "scale": ""
  },
  {
   "id": "aceda0",
   "name": "ACE-Data-0",
   "year": "2026",
   "status": "surveyed",
   "tags": [
    "第一人称图册"
   ],
   "source": "egoexo",
   "method": "marker",
   "gt": "手部动捕（格式待核）",
   "tier": "S2",
   "route": "R1",
   "camera": "环境多相机 + 第一视角",
   "rig": {
    "ego": true,
    "exo": 6
   },
   "fills": "身体与物体用 OptiTrack，手部附带动捕数据。",
   "risk": "官方叠加样例未逐帧配对；全量发布目标 150 小时，目前为快照。",
   "team": [
    {
     "label": "团队图册：第一人称具身数据集",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/egocentric_embodied_datasets_20261020/index.html"
    }
   ],
   "links": [],
   "subjects": "",
   "scale": ""
  },
  {
   "id": "xperience",
   "name": "Xperience-10M",
   "year": "2026",
   "status": "surveyed",
   "tags": [
    "第一人称图册"
   ],
   "source": "ego",
   "method": "device",
   "gt": "手部动捕（类型待核）",
   "tier": "-",
   "route": "R3",
   "camera": "第一视角",
   "rig": {
    "ego": true
   },
   "scale": "约 1 万小时",
   "fills": "规模极大的第一视角数据。",
   "risk": "手部真值的采集方式和精度待核。",
   "team": [
    {
     "label": "团队图册：第一人称具身数据集",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/egocentric_embodied_datasets_20261020/index.html"
    }
   ],
   "links": [],
   "subjects": ""
  },
  {
   "id": "feel",
   "name": "FEEL",
   "year": "2026",
   "status": "surveyed",
   "tags": [
    "第一人称图册"
   ],
   "source": "ego",
   "method": "device",
   "gt": "Aria MPS 手部追踪",
   "tier": "-",
   "route": "R3",
   "camera": "Aria",
   "rig": {
    "ego": true,
    "fisheye": true
   },
   "fills": "Aria 第一视角的设备追踪手部。",
   "team": [
    {
     "label": "团队图册：第一人称具身数据集",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/egocentric_embodied_datasets_20261020/index.html"
    }
   ],
   "links": [],
   "risk": "",
   "subjects": "",
   "scale": ""
  },
  {
   "id": "openaoe",
   "name": "Open-AoE",
   "year": "2026",
   "status": "surveyed",
   "tags": [
    "第一人称图册"
   ],
   "source": "ego",
   "method": "pseudo",
   "gt": "自动重建 MANO",
   "tier": "S5",
   "route": "R7",
   "camera": "第一视角",
   "rig": {
    "ego": true
   },
   "fills": "第一视角操作，自动 MANO 重建。",
   "team": [
    {
     "label": "团队图册：第一人称具身数据集",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/egocentric_embodied_datasets_20261020/index.html"
    }
   ],
   "links": [],
   "risk": "",
   "subjects": "",
   "scale": ""
  },
  {
   "id": "genhumanego",
   "name": "Gen-HumanEgo",
   "year": "2026",
   "status": "surveyed",
   "tags": [
    "第一人称图册"
   ],
   "source": "ego",
   "method": "pseudo",
   "gt": "DFM HandTrack 预测",
   "tier": "S5",
   "route": "R7",
   "camera": "第一视角",
   "rig": {
    "ego": true
   },
   "fills": "第一视角，模型预测的手部。",
   "team": [
    {
     "label": "团队图册：第一人称具身数据集",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/egocentric_embodied_datasets_20261020/index.html"
    }
   ],
   "links": [],
   "risk": "",
   "subjects": "",
   "scale": ""
  },
  {
   "id": "egolive",
   "name": "EgoLive",
   "year": "2026",
   "status": "surveyed",
   "tags": [
    "第一人称图册"
   ],
   "source": "ego",
   "method": "pseudo",
   "gt": "HaMeR 预测 MANO",
   "tier": "S5",
   "route": "R7",
   "camera": "第一视角",
   "rig": {
    "ego": true
   },
   "fills": "第一视角，HaMeR 伪标签。",
   "team": [
    {
     "label": "团队图册：第一人称具身数据集",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/egocentric_embodied_datasets_20261020/index.html"
    }
   ],
   "links": [],
   "risk": "",
   "subjects": "",
   "scale": ""
  },
  {
   "id": "egoverse",
   "name": "EgoVerse",
   "year": "2026",
   "status": "surveyed",
   "tags": [
    "第一人称图册"
   ],
   "source": "ego",
   "method": "device",
   "gt": "21 个 3D 关节",
   "tier": "-",
   "route": "R3",
   "camera": "第一视角",
   "rig": {
    "ego": true
   },
   "fills": "多地采集的第一视角人类示范。",
   "risk": "关节来源待核。",
   "links": [
    {
     "label": "论文 arXiv:2604.07607",
     "url": "https://arxiv.org/abs/2604.07607"
    }
   ],
   "team": [
    {
     "label": "团队图册：第一人称具身数据集",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/egocentric_embodied_datasets_20261020/index.html"
    }
   ],
   "subjects": "",
   "scale": ""
  },
  {
   "id": "ipnhands",
   "name": "IPN HandS",
   "year": "2020",
   "status": "surveyed",
   "tags": [
    "2D 图册"
   ],
   "source": "exo",
   "method": "manual2d",
   "gt": "2D 关键点（21 点）",
   "tier": "-",
   "route": "R4",
   "camera": "单相机",
   "rig": {
    "exo": 1
   },
   "scale": "200 段视频，约 80 万帧",
   "fills": "MediaPipe 预标后人工修正的连续 2D。",
   "risk": "GT 配对和元数据校验未完成。",
   "team": [
    {
     "label": "团队图册：2D 数据集",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/hand_2d_dataset_browser_20261013/index.html"
    }
   ],
   "links": [],
   "subjects": ""
  },
  {
   "id": "hograspnet",
   "name": "HOGraspNet",
   "year": "ECCV 2024",
   "status": "p0",
   "tags": [
    "新增"
   ],
   "source": "exo",
   "method": "rgbd",
   "gt": "MANO + HALO",
   "tier": "S3",
   "route": "R1",
   "camera": "4 台 Azure Kinect RGB-D，其中 1 台在身后眼睛高度模拟第一视角",
   "rig": {
    "exo": 4,
    "depth": true,
    "pseudoEgo": true
   },
   "subjects": "99 人，10 到 74 岁",
   "scale": "1,489,112 帧，28 类抓取，30 个物体",
   "fills": "shape 多样性：作者的 t-SNE 显示比 HO3D、DexYCB、OakInk 更分散。相机与 Femto Bolt 同一传感器族。",
   "risk": "手上没有 marker，MANO 来自 MediaPipe 三角化加 RGB-D 拟合。",
   "links": [
    {
     "label": "项目主页",
     "url": "https://hograspnet2024.github.io/"
    },
    {
     "label": "论文 arXiv:2409.04033",
     "url": "https://arxiv.org/abs/2409.04033"
    }
   ],
   "team": []
  },
  {
   "id": "palm",
   "name": "PALM",
   "year": "2025",
   "status": "p0",
   "tags": [
    "新增"
   ],
   "source": "scan",
   "method": "scan",
   "gt": "扫描网格 + MANO 配准",
   "tier": "S1",
   "route": "R6",
   "camera": "3dMD 扫描仪：7 台 RGB + 14 台黑白",
   "rig": {
    "scanner": true
   },
   "subjects": "263 人，男女各半，21 到 70 岁",
   "scale": "约 9 万张多视角 RGB，1.3 万次扫描，约 50 种右手手势",
   "fills": "目前能找到的最可靠 shape 真值，可做 shape 先验和 shape 评测集。",
   "risk": "作者称发表后公开；Voxel51 上有 1000 样本子集，完整版获取方式待确认。只有右手静态手势。",
   "links": [
    {
     "label": "论文 arXiv:2511.05403",
     "url": "https://arxiv.org/abs/2511.05403"
    },
    {
     "label": "Voxel51 子集",
     "url": "https://docs.voxel51.com/dataset_zoo/datasets_hf/palm.html"
    }
   ],
   "team": []
  },
  {
   "id": "egoexo4d",
   "name": "Ego-Exo4D 手部姿态",
   "year": "CVPR 2024",
   "status": "p0",
   "tags": [
    "新增"
   ],
   "source": "egoexo",
   "method": "mvkp",
   "gt": "21 个 3D 关键点",
   "tier": "-",
   "route": "R3",
   "camera": "Aria RGB（110° 视场，卷帘快门）+ 外视角相机",
   "rig": {
    "ego": true,
    "fisheye": true,
    "exo": 5
   },
   "scale": "约 6.8 万人工 2D、34 万人工 3D；自动 3D 约 2100 万",
   "fills": "真实场景的宽视场第一视角，对应 HOT3D 上暴露的相机域问题。",
   "risk": "没有 MANO，只能监督 pose。",
   "links": [
    {
     "label": "论文 arXiv:2311.18259",
     "url": "https://arxiv.org/abs/2311.18259"
    }
   ],
   "team": [],
   "subjects": ""
  },
  {
   "id": "gigahands",
   "name": "GigaHands",
   "year": "CVPR 2025",
   "status": "p1",
   "tags": [
    "新增"
   ],
   "source": "exo",
   "method": "mvkp",
   "gt": "MANO",
   "tier": "S4",
   "route": "R1",
   "camera": "51 台 RGB，只有外视角",
   "rig": {
    "exo": 51
   },
   "subjects": "56 人",
   "scale": "34 小时，1.83 亿帧，8.4 万条文本描述",
   "fills": "双手动作的多样性。",
   "risk": "YOLO + HaMeR + ViTPose 初始化后三角化，再用 EasyMoCap 拟合，可能继承 HaMeR 的偏差，建议先抽检。",
   "links": [
    {
     "label": "项目主页",
     "url": "https://ivl.cs.brown.edu/research/gigahands.html"
    },
    {
     "label": "论文 arXiv:2412.04244",
     "url": "https://arxiv.org/abs/2412.04244"
    }
   ],
   "team": []
  },
  {
   "id": "oakink2",
   "name": "OakInk2",
   "year": "CVPR 2024",
   "status": "p1",
   "tags": [
    "新增"
   ],
   "source": "egoexo",
   "method": "marker",
   "gt": "SMPL-X → MANO",
   "tier": "S2",
   "route": "R2",
   "camera": "1 个第一视角 + 3 个外视角 RGB，848×480",
   "rig": {
    "ego": true,
    "exo": 3
   },
   "subjects": "9 人",
   "scale": "627 个序列，401 万帧",
   "fills": "第一视角加光学真值的双手复杂任务。",
   "risk": "团队 10.8 只用了它的动作分布，图像未入清单。画面中可能看得到 marker，需检查。分辨率低。",
   "links": [
    {
     "label": "项目主页",
     "url": "https://oakink.net/v2"
    },
    {
     "label": "论文 arXiv:2403.19417",
     "url": "https://arxiv.org/abs/2403.19417"
    }
   ],
   "team": []
  },
  {
   "id": "hint",
   "name": "HInt",
   "year": "CVPR 2024",
   "status": "p1",
   "tags": [
    "新增"
   ],
   "source": "wild",
   "method": "manual2d",
   "gt": "21 点 2D + 逐点遮挡标签",
   "tier": "-",
   "route": "R4",
   "camera": "Ego4D、EPIC VISOR、Hands23、NewDays 图像",
   "rig": {
    "wild": true,
    "ego": true
   },
   "fills": "野外第一视角的 2D 监督，以及按遮挡分层的评测。",
   "risk": "Ego4D 帧需单独申请许可。",
   "links": [
    {
     "label": "GitHub（MIT）",
     "url": "https://github.com/ddshan/hint"
    }
   ],
   "team": [],
   "subjects": "",
   "scale": ""
  },
  {
   "id": "blurhand",
   "name": "BlurHand",
   "year": "CVPR 2023",
   "status": "p1",
   "tags": [
    "新增"
   ],
   "source": "exo",
   "method": "mvkp",
   "gt": "首、中、尾三帧 3D 真值",
   "tier": "S4",
   "route": "R1",
   "camera": "由 InterHand2.6M 插帧合成运动模糊",
   "rig": {
    "exo": 12
   },
   "scale": "训练 121,839 张，测试 34,057 张",
   "fills": "运动模糊，对应 V7 台本里的快速动作。",
   "links": [
    {
     "label": "GitHub",
     "url": "https://github.com/JaehaKim97/BlurHand_RELEASE"
    },
    {
     "label": "论文 arXiv:2303.15417",
     "url": "https://arxiv.org/abs/2303.15417"
    }
   ],
   "team": [],
   "risk": "",
   "subjects": ""
  },
  {
   "id": "dartset",
   "name": "DARTset",
   "year": "NeurIPS 2022",
   "status": "p1",
   "tags": [
    "新增"
   ],
   "source": "synth",
   "method": "synth",
   "gt": "MANO 扩展（DART）",
   "tier": "SY",
   "route": "R1",
   "camera": "合成渲染",
   "rig": {
    "synth": true
   },
   "scale": "约 80 万张，50 种饰品，325 种皮肤纹理",
   "fills": "外观多样性：戒指、手表、美甲、纹身。",
   "links": [
    {
     "label": "NeurIPS 论文",
     "url": "https://proceedings.neurips.cc/paper_files/paper/2022/hash/f06d5ebd4ff40b40dd97e30cee632123-Abstract-Datasets_and_Benchmarks.html"
    }
   ],
   "team": [],
   "risk": "",
   "subjects": ""
  },
  {
   "id": "humbi",
   "name": "HUMBI Hand",
   "year": "CVPR 2020",
   "status": "p2",
   "tags": [
    "新增"
   ],
   "source": "exo",
   "method": "mvkp",
   "gt": "MANO",
   "tier": "S4",
   "route": "R1",
   "camera": "手部 68 个视角",
   "rig": {
    "exo": 68
   },
   "subjects": "全集 772 人，性别均衡，多种肤色",
   "fills": "shape 分布广。",
   "risk": "每人 shape 取关键点拟合结果的时间中值，只能当弱监督。",
   "links": [
    {
     "label": "项目主页",
     "url": "http://humbi-data.net"
    },
    {
     "label": "论文 arXiv:2110.00119",
     "url": "https://arxiv.org/abs/2110.00119"
    }
   ],
   "team": [],
   "scale": ""
  },
  {
   "id": "ourcapture",
   "name": "单人手部采集（V6 / V7）",
   "year": "2026",
   "status": "own",
   "tags": [
    "自采"
   ],
   "source": "egoexo",
   "method": "marker",
   "gt": "SOMA（目标）",
   "tier": "S2",
   "route": "R0",
   "camera": "Femto Bolt 头戴 RGB（带 marker）+ 光学动捕",
   "rig": {
    "ego": true,
    "exo": 6
   },
   "subjects": "3 人（计划增加）",
   "scale": "V6 152 条 + V7 新增 51 条",
   "fills": "极端抓取、手内换抓、手手接触、注视与速度变化。",
   "risk": "手上 marker 出现在 RGB 中，需按已知位置做 inpainting。",
   "links": [],
   "team": []
  },
  {
   "id": "assemblyhands",
   "name": "AssemblyHands",
   "year": "CVPR 2023",
   "status": "no",
   "tags": [
    "不建议"
   ],
   "source": "norgb",
   "method": "mvkp",
   "gt": "21 个 3D 关键点",
   "tier": "-",
   "route": "R3",
   "camera": "第一视角为黑白鱼眼；外视角为 RGB",
   "rig": {
    "ego": true,
    "fisheye": true,
    "mono": true,
    "exo": 8
   },
   "subjects": "34 人",
   "scale": "约 300 万张，其中第一视角约 49 万张",
   "fills": "只有外视角 RGB 可用。",
   "risk": "第一视角不是真实 RGB，与排除 SHOW3D 的理由相同。",
   "links": [
    {
     "label": "论文 arXiv:2304.12301",
     "url": "https://arxiv.org/abs/2304.12301"
    }
   ],
   "team": []
  },
  {
   "id": "show3d",
   "name": "SHOW3D",
   "year": "2026",
   "status": "no",
   "tags": [
    "不建议",
    "第一人称图册"
   ],
   "source": "norgb",
   "method": "mvkp",
   "gt": "UmeTrack（另提供 MANO / MHR 转换）",
   "tier": "S4",
   "route": "R1",
   "camera": "黑白鱼眼",
   "rig": {
    "ego": true,
    "fisheye": true,
    "mono": true
   },
   "fills": "团队已排除。",
   "risk": "无标记多视角自动拟合，人工核验子集不具代表性；黑白鱼眼不满足真实 RGB 条件。",
   "team": [
    {
     "label": "团队图册：第一人称具身数据集",
     "url": "https://yangzijing-nine-source-hand-data-browser.static.hf.space/egocentric_embodied_datasets_20261020/index.html"
    }
   ],
   "links": [],
   "subjects": "",
   "scale": ""
  },
  {
   "id": "hiphi",
   "name": "HiPHI",
   "year": "2026",
   "status": "no",
   "tags": [
    "不建议"
   ],
   "source": "norgb",
   "method": "marker",
   "gt": "BVH 骨架",
   "tier": "-",
   "route": "R3",
   "camera": "无 RGB",
   "rig": {
    "none": true
   },
   "subjects": "132 人",
   "scale": "617.5 小时（含镜像），约 2 亿帧",
   "fills": "大规模全身与物体交互动捕，可作动作先验。",
   "risk": "没有图像，手部细节未说明。",
   "links": [
    {
     "label": "论文 arXiv:2608.16222",
     "url": "https://arxiv.org/abs/2608.16222"
    }
   ],
   "team": []
  },
  {
   "id": "eventegohands",
   "name": "EventEgoHands++（EEH-R）",
   "year": "2026",
   "status": "no",
   "tags": [
    "不建议"
   ],
   "source": "norgb",
   "method": "device",
   "gt": "MANO（手套关节拟合）",
   "tier": "S4",
   "route": "R1",
   "camera": "DAVIS346 事件相机",
   "rig": {
    "ego": true,
    "none": true
   },
   "subjects": "8 人",
   "scale": "1,019,716 帧，约 2.36 小时",
   "fills": "暗光与事件相机。",
   "risk": "没有 RGB，公开情况未说明。",
   "links": [
    {
     "label": "alphaXiv",
     "url": "https://www.alphaxiv.org/abs/2609.17189"
    }
   ],
   "team": []
  }
 ]
}