| --- |
| pretty_name: RoboXS |
| task_categories: |
| - object-detection |
| tags: |
| - yolo |
| - computer-vision |
| - object-detection |
| license: mit |
| --- |
| |
|
|
|
|
| # RoboXS- Robotics Extended test Set |
|
|
| ## Overview |
| This repository contains 4 separate YOLO-format batches: |
| A total of 21 parts of Robotics dataset were available to prepare the custom test set used to specifically assess the robustness of object detectors. The proposed idea was to create a test set of 80 images |
| across 10 object classes, split into four increasing-scene-difficulty equal batches |
| - `b1` |
| - `b2` |
| - `b3` |
| - `b4` |
|
|
| Each batch contains: |
| - `data.yaml` |
| - `images/test/*.jpg` |
| - `labels/test/*.txt` |
|
|
| ## Format |
| This dataset is stored in raw YOLO format. |
|
|
| Each annotation row is: |
| `class x_center y_center width height` |
|
|
| Coordinates are normalized. |
|
|
| ## Batch structure |
|
|
| ### b1 |
| - images: `b1/images/test/` |
| - labels: `b1/labels/test/` |
| - classes: see `b1/data.yaml` |
|
|
| ### b2 |
| - images: `b2/images/test/` |
| - labels: `b2/labels/test/` |
| - classes: see `b2/data.yaml` |
|
|
| ### b3 |
| - images: `b3/images/test/` |
| - labels: `b3/labels/test/` |
| - classes: see `b3/data.yaml` |
|
|
| ### b4 |
| - images: `b4/images/test/` |
| - labels: `b4/labels/test/` |
| - classes: see `b4/data.yaml` |
|
|
| ## Notes |
| The batches are preserved exactly as exported. |
| This repository is intended for download and use in YOLO workflows. |
