| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: ground_truth |
| dtype: string |
| license: other |
| task_categories: |
| - image-classification |
| - visual-question-answering |
| tags: |
| - fashion |
| - clothing |
| - garment |
| - apparel |
| - vlm |
| - multimodal |
| - evaluation |
| - benchmark |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # Denali-AI Eval Benchmark 18k (Strict V2) |
|
|
| An evaluation benchmark of **~18,000 garment images** with structured attribute annotations for benchmarking Vision-Language Models on apparel classification. |
|
|
| ## Dataset Description |
|
|
| Each sample contains: |
| - **image**: A garment photograph (clothing laid flat, on hangers, or worn) |
| - **prompt**: Classification instruction prompt for VLM inference |
| - **ground_truth**: JSON string with 9 garment attributes |
| |
| ### Attribute Schema |
| |
| | Field | Description | Examples | |
| |-------|-------------|----------| |
| | type | Garment type | Shirt, Pants, Dress, Jacket | |
| | color | Primary color | Blue, Red, Black | |
| | pattern | Fabric pattern | Solid, Striped, Floral, Plaid | |
| | neckline | Neckline style | Crew, V-Neck, Collared Neckline | |
| | sleeve_length | Sleeve length | Short, Long, Sleeveless | |
| | closure | Closure type | Button, Zipper, Pullover | |
| | brand | Brand (if visible on tag) | Nike, Gap, N/A | |
| | size | Size (if visible on tag) | M, XL, N/A | |
| | defect_type | Visible defects | Hole, Stain, N/A | |
| |
| ## Data Sources |
| |
| Images sourced from multiple collections: |
| - **crowd**: Crowdsourced garment photos |
| - **posh**: Resale marketplace listings |
| - **zen**: Processing facility station captures |
| - **defect-spectrum**: Garments with various defect types |
| - **nike-shoes-authenticity**: Nike footwear samples |
| - **nike-shoes-classification**: Nike footwear classification |
| - **training-eval**: Cross-validation subset |
| |
| ## Usage |
| |
| |
| |
| ## Intended Use |
| |
| This dataset is intended for evaluating VLM models on garment attribute extraction tasks using the Denali-AI evaluation pipeline and PeakBench. It is disjoint from the [Denali-AI/train-35k](https://huggingface.co/datasets/Denali-AI/train-35k) training set. |
| |
| ## Organization |
| |
| Part of the [Denali-AI](https://huggingface.co/Denali-AI) garment classification project. |
| |
