Quay lại Trending
Dataset
chibifire

chibifire/zenodo-second-hand-fashion-v3

Second-Hand Fashion Dataset — wide (one row per garment) Repack of Zenodo record 10.5281/zenodo.13788681 (Nauman et al., RISE + Wargön Innovation + Myrorna, CC-BY-4.0) into a one-row-per-garment wide layout so the HF dataset viewer shows every attribute — three images plus 25 metadata columns — on a single row. Previous v3 releases stored one row per (garment, view) with satellite tables that had to be joined manually. That layout is preserved in git history if you need it; the… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/zenodo-second-hand-fashion-v3.

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Thành tựu nổi bật

Những danh hiệu mới nhất của dự án

1
TINIX TRENDING·Chủ đề: second-hand

#1 Repository Của Tuần

1
TINIX TRENDING·Chủ đề: circular-fashion

#1 Repository Của Tuần

1
TINIX TRENDING·Chủ đề: clothing

#1 Repository Của Tuần

🧵 Bộ dữ liệu quần áo second-hand dạng rộng — 32K mẫu, mỗi hàng một sản phẩm

Mỗi hàng chứa đủ 3 ảnh (trước, sau, nhãn) và 25 cột thuộc tính chi tiết, không cần join bảng phụ.

Đây là bản repack từ bản ghi Zenodo 10.5281/zenodo.13788681 do Nauman et al. (RISE + Wargön Innovation + Myrorna) công bố, chuyển đổi từ dạng normalized (một hàng mỗi (sản phẩm, góc ảnh)) sang wide layout để truyền đạt đầy đủ thông tin trên HF viewer.

✨ Điểm nổi bật

  • One-row-per-garment: 28 cột dữ liệu, 3 ảnh JPEG, tất cả trên một hàng.
  • 3 ảnh mỗi sản phẩm: image_front, image_back, image_brand (có thể null).
  • 25 thuộc tính chi tiết: thương hiệu, danh mục, loại, kích thước, mẫu, màu sắc, chất liệu, trọng lượng, mùa, xu hướng, giá, tình trạng, hư hỏng...
  • Multi-valued attributes: colors và damage lưu dưới dạng list/danh sách cấu trúc.
  • Tách split theo sản phẩm: train (28.474), test (3.164 — blinded holdout seed=42), eval (298 — gold set).
  • Định dạng Parquet nén ZSTD: tối ưu truy xuất và lưu trữ.
  • Giữ lại bảng gốc: satellite/vocab tables vẫn có sẵn nếu cần dùng normalized schema.
  • Xử lý missing data: ảnh brand null nếu thiếu; damage/comment có thể rỗng.

💡 Vì sao đáng chú ý

Khác với các bản trước tốn công join bảng phụ, bản wide này giúp mọi thuộc tính hiển thị ngay trên HF viewer — tiết kiệm thời gian preprocessing cho các bài toán image classification, condition assessment hay damage detection trên quần áo second-hand.


#SecondHandFashion #ImageClassification #CircularFashion #Dataset #TiniX

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