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train-10k-balanced-v3

A balanced 10,000-sample training dataset for garment classification VLMs (v3).

Format

JSONL with fields:

  • image: path to garment image
  • source: annotation source
  • response: ground-truth JSON with 9 fields (type, color, pattern, neckline, sleeve_length, closure, brand, size, defect_type)

Usage

Used for supervised fine-tuning (SFT) and reinforcement learning (GRPO/GTPO) of vision-language models on structured garment attribute extraction.

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