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README.md
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Multi-View Continuous 4D Human Motion Dataset
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Large-Scale 1080P Multi-View Human Motion Data for AI Research & Commercial Applications
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Dataset Scale & Structure
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📂 Dataset Structure
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数据集采用标准化的文件夹结构,便于快速加载和处理。每个动作序列包含多视角视频、同步时间戳及元数据。
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your_dataset_name/
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├── sequences/ # 动作序列根目录
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│ ├── seq_0001/ # 单个动作序列文件夹
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│ │ ├── views/ # 多视角视频存储
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│ │ │ ├── cam_00.mp4 # 视角0视频
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│ │ │ ├── cam_01.mp4 # 视角1视频
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│ │ │ └── ... # 更多视角
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│ │ ├── metadata.json # 序列元数据
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│ │ └── timestamps.txt #
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│ ├── seq_0002/
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│ │ └── ...
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│ └── ...
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├── annotations/ # 标注文件目录(可选)
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│ ├── keypoints_3d.json # 3D关键点标注
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│ └── action_labels.csv # 动作类别标签
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└── splits/ # 数据集划分文件
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├── train.txt # 训练集序列ID列表
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├── val.txt # 验证集序列ID列表
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└── test.txt # 测试集序列ID列表
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</pre>
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<strong>💡 提示:</strong>
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这种结构遵循了计算机视觉领域的通用规范,可直接配合 PyTorch 或 TensorFlow 的 Dataset 类进行加载。
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<!-- 5. 数据集概述与链接 -->
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📊 Dataset Overview
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<ul style="font-size:18px; color:#555; line-height:1.8; list-style-type:none; padding-left:0;">
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<li style="margin-bottom:10px;">✅ <strong>多人动作:</strong> 800+ 小时</li>
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<li style="margin-bottom:10px;">✅ <strong>双人动作:</strong> 2,200+ 小时</li>
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<li style="margin-bottom:10px;">✅ <strong>单人动作:</strong> 7,000+ 小时</li>
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<li style="margin-bottom:10px;">✅ <strong>真实场景数量:</strong> 2,000+</li>
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<li style="margin-bottom:10px;">✅ <strong>参与拍摄人次:</strong> 6,000+</li>
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<li style="margin-bottom:10px;">✅ <strong>实拍总时长:</strong> 10,000+ 小时</li>
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<li style="margin-bottom:10px;">✅ <strong>视频质量:</strong> 全量 1080P 高清视频,单条最长视频超过 60 分钟</li>
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<li style="margin-bottom:10px;">✅ <strong>采集方式:</strong> 多视角同步采集,时序稳定对齐</li>
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</ul>
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<p style="font-size:18px; color:#555; margin-top:20px; text-align:center;">
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<a href="http://220.168.41.41:8090/multi-viewData/index" style="color:#D72222; text-decoration:none; font-weight:bold; border:2px solid #D72222; padding:12px 30px; border-radius:8px; display:inline-block; transition:background 0.3s;">
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Visit Official Website:中广天择2026年高清连续多视角4D视频数据集
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</a>
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<!-- 1. 全局红色容器:包裹所有内容,实现全屏红色背景 -->
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<div style="background-color: #D72222; padding: 0 20px;">
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<!-- 2. 顶部红色区域(标题 + 核心指标) -->
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<div style="text-align: center; color: white; padding: 60px 0;">
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<h1 style="font-size: 48px; margin-bottom: 10px; color: white; font-weight: bold;">
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Multi-View Continuous 4D Human Motion Dataset
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</h1>
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<p style="font-size: 20px; max-width: 800px; margin: 0 auto 40px; color: rgba(255,255,255,0.9);">
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Large-Scale 1080P Multi-View Human Motion Data for AI Research & Commercial Applications
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</p>
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<!-- 核心指标卡片容器:使用 Flex 布局居中 -->
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<div style="display: flex; justify-content: center; gap: 30px; flex-wrap: wrap; max-width: 1100px; margin: 0 auto;">
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<h2 style="font-size: 36px; margin: 0; font-weight: 800;">10,000+</h2>
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<p style="font-size: 16px; margin: 10px 0 0; color: #555; font-weight: 500;">Total Hours</p>
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<!-- 卡片 2 -->
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<h2 style="font-size: 36px; margin: 0; font-weight: 800;">2,000+</h2>
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<p style="font-size: 16px; margin: 10px 0 0; color: #555; font-weight: 500;">Real-world Scenes</p>
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<!-- 卡片 3 -->
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<div style="background: white; color: #D72222; padding: 30px 40px; border-radius: 16px; min-width: 200px; text-align: center; box-shadow: 0 4px 15px rgba(0,0,0,0.1);">
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<h2 style="font-size: 36px; margin: 0; font-weight: 800;">6,000+</h2>
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<p style="font-size: 16px; margin: 10px 0 0; color: #555; font-weight: 500;">Subject Instances</p>
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<h2 style="font-size: 36px; text-align: center; color: #333; margin-bottom: 40px;">
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Dataset Scale & Structure
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<div style="height: 3px; width: 80px; background: #D72222; margin: 10px auto 0; border-radius: 2px;"></div>
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</h2>
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<!-- 数据规模卡片 -->
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<h3 style="font-size: 28px; color: #D72222; margin: 0; font-weight: 700;">800+</h3>
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<p style="font-size: 14px; margin: 5px 0 0; color: #666;">Multi-Person Interactions (Hours)</p>
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<h3 style="font-size: 28px; color: #D72222; margin: 0; font-weight: 700;">2,200+</h3>
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<p style="font-size: 14px; margin: 5px 0 0; color: #666;">Dual-Person Actions (Hours)</p>
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<h3 style="font-size: 28px; color: #D72222; margin: 0; font-weight: 700;">7,000+</h3>
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<p style="font-size: 14px; margin: 5px 0 0; color: #666;">Single-Person Actions (Hours)</p>
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<h2 style="font-size: 32px; color: #333; border-bottom: 2px solid #D72222; display: inline-block; padding-bottom: 8px; margin-bottom: 30px;">
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📂 Dataset Structure
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<p style="font-size: 16px; color: #555; line-height: 1.6; margin-bottom: 20px;">
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数据集采用标准化的文件夹结构,便于快速加载和处理。每个动作序列包含多视角视频、同步时间戳及元数据。
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</p>
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<pre style="background: #f8f9fa; padding: 20px; border-radius: 8px; font-size: 14px; color: #333; overflow-x: auto; border-left: 3px solid #D72222;">
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your_dataset_name/
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├── sequences/ # 动作序列根目录
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│ ├── seq_0001/ # 单个动作序列文件夹
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│ │ ├── views/ # 多视角视频存储
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│ │ │ ├── cam_00.mp4 # 视角0视频
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│ │ │ └── ... # 更多视角
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│ │ ├── metadata.json # 序列元数据
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│ │ └── timestamps.txt # 同步时间戳
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├── annotations/ # 标注文件目录(可选)
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└── splits/ # 数据集划分文件
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</pre>
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</div>
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