EgoNetDatasetResearch / data /datasets.json
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{
"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": []
}
]
}