| --- |
| dataset_info: |
| features: |
| - name: image_id |
| dtype: int64 |
| - name: image |
| dtype: image |
| - name: width |
| dtype: int32 |
| - name: height |
| dtype: int32 |
| - name: objects |
| struct: |
| - name: id |
| list: int64 |
| - name: area |
| list: int64 |
| - name: bbox |
| list: |
| list: float32 |
| length: 4 |
| - name: category |
| list: |
| class_label: |
| names: |
| '0': Coverall |
| '1': Face_Shield |
| '2': Gloves |
| '3': Goggles |
| '4': Mask |
| - name: detections |
| list: |
| - name: bbox |
| list: int64 |
| - name: label |
| dtype: string |
| - name: sub_label |
| dtype: string |
| - name: alt_labels |
| list: string |
| - name: raw_response |
| dtype: string |
| - name: inference_info |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 3048948 |
| num_examples: 20 |
| download_size: 3042132 |
| dataset_size: 3048948 |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/test-* |
| tags: |
| - hf-jobs |
| - object-detection |
| - uv-script |
| --- |
| |
| # Class-list detection with WeVisOne-VL |
|
|
| Boxes for `Coverall`, `Face_Shield`, `Gloves`, `Goggles`, `Mask` on `rishitdagli/cppe-5` (split `test`), from |
| [tencent/WeVisOne-VL-4B](https://huggingface.co/tencent/WeVisOne-VL-4B). |
| 20 images, 20 with at least one detection, |
| 130 detections. 14 boxes share their region with a box of another class (see `alt_labels`). |
|
|
| These are **zero-shot labels**: no human checked them. Treat them as a first pass for review. |
|
|
| ## Columns added |
|
|
| - `detections`: list of `{bbox: [x1, y1, x2, y2], label, sub_label, alt_labels}`. `bbox` is in |
| original-image pixels. `sub_label` is always empty (WeVisOne gives class labels only); it is |
| there so the schema matches `qwen3vl-detect.py`. `alt_labels` lists other classes the model |
| gave the same region (IoU >= 0.8); WeVisOne answers each class on its own, |
| so one object can carry several class names. |
| - `raw_response`: the model's raw answer, for re-parsing. |
| - `inference_info`: JSON with the model, prompt, classes, image size and settings. |
|
|
| ## Reproduction |
|
|
| Produced on [Hugging Face Jobs](https://huggingface.co/docs/huggingface_hub/guides/jobs) (`a10g-small`) with the [`wevisone-detect.py`](https://huggingface.co/datasets/uv-scripts/vlm-object-detection/raw/main/wevisone-detect.py) recipe from [uv-scripts](https://huggingface.co/uv-scripts). Run it yourself: |
|
|
| ```bash |
| hf jobs uv run --flavor a10g-small https://huggingface.co/datasets/uv-scripts/vlm-object-detection/raw/main/wevisone-detect.py \ |
| rishitdagli/cppe-5 <output-dataset> --classes Coverall,Face_Shield,Gloves,Goggles,Mask --split test --max-samples 20 --shuffle --seed 42 |
| ``` |
|
|
