| license: apache-2.0 | |
| task_categories: | |
| - image-classification | |
| - visual-question-answering | |
| language: | |
| - en | |
| size_categories: | |
| - 1K<n<10K | |
| # eval-hard-3500 | |
| A curated 3,500-sample hard evaluation benchmark for garment classification VLMs. | |
| ## 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 to evaluate multi-field structured JSON extraction from garment images. Models are scored on SBERT cosine similarity, NLI entailment, Levenshtein ratio, token F1, and weighted field scores. | |
| ## Metrics | |
| See [eval_all_results.json](https://huggingface.co/Denali-AI) for model comparison results on this benchmark. | |