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End of preview. Expand in Data Studio
COCO 3D 扩展数据集
数据集描述
本数据集基于 COCO 2017 训练集，添加了深度和方向信息：
- 深度：通过
depth-pro模型预测的绝对深度（米）。 - 方向：通过
orient-anything模型预测的方位角（azimuth/polar）。 - 原始标注：包括类别、2D 框、RLE 分割掩码。
使用示例
from datasets import load_dataset
dataset = load_dataset("lidaiqiang/COCO_3D", split="train")
sample = dataset[0]
print(sample["objects"][0]["depth"]) # 打印第一个物体的深度
字段说明
| 字段名 | 类型 | 描述 |
|---|---|---|
image |
Image |
PIL 格式的原始图像 |
objects |
Sequence |
物体标注列表（见下表） |
→ class |
str |
物体类别（如 "cat"） |
→ bbox |
[float32] |
2D 边界框 [x1, y1, x2, y2] |
→ depth |
float32 |
绝对深度值（米） |
License
COCO 原始 License（Apache 2.0）。
交互式查看器
📊 点击展开数据表格（实时解析）
物体详情
类别： -
边界框： -
深度： -
方向： -
| ID | 类别 | 边界框 |
|---|
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