地球资源数据云——数据资源详情
H&M 报废产品数据集
该数据集《H&M Scrapped Product Dataset》主要用于监督学习任务，数据形态以图像为主，应用场景偏向环保分类。 题目说明：High - Quality Product Metadata from H&M for Fashion Analysis, NLP, and E - Commerce 任务类型：图像监督学习。 建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：handm.csv。 This dataset contains a rich and structured catalog of H&M products scraped directly from their official website. It includes detailed metadata for each product such as: Product ID, Name, and Brand Product URL and Price Stock Availability and Coming Soon Flag Color Name, Available Color Variants, and Color Shades
摘要概览
该数据集《H&M Scrapped Product Dataset》主要用于监督学习任务，数据形态以图像为主，应用场景偏向环保分类。 题目说明：High - Quality Product Metadata from H&M for Fashion Analysis, NLP, and E - Commerce
任务类型：图像监督学习。
建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：handm.csv。
This dataset contains a rich and structured catalog of H&M products scraped directly from their official website. It includes detailed metadata for each product such as:
Product ID, Name, and Brand
Product URL and Price
Stock Availability and Coming Soon Flag
Color Name, Available Color Variants, and Color Shades