SKIN 数据集第 02 子集

数据集获取与加载（Hugging Face datasets）

# 前置依赖: pip install datasets
from datasets import load_dataset

ds = load_dataset("Iamhoang/skin-set-02")
print(ds)  # 查看 splits 与字段结构
# 国内网络可先设镜像: import os; os.environ["HF_ENDPOINT"]="https://hf-mirror.com"

git lfs install && git clone https://hf-mirror.com/datasets/Iamhoang/skin-set-02

数据集大小约 154.12 GB。

仓库文件结构

• .gitattributes
• README.md
• sample_006.tif
• sample_012.tif
• sample_013.tif
• sample_023.tif
• sample_024.tif
• sample_027.tif
• sample_032.tif
• sample_040.tif
• sample_048.tif
• sample_052.tif
• sample_057.tif
• sample_059.tif
• sample_063.tif
• sample_066.tif
• sample_091.tif
• sample_098.tif
• sample_106.tif
• sample_109.tif
• … 共 30 个文件

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

完整数据卡：huggingface.co/datasets/Iamhoang/skin-set-02