| --- |
| license: cc-by-4.0 |
| task_categories: |
| - keypoint-detection |
| tags: |
| - transparent-objects |
| - keypoints |
| - coco |
| - robotics |
| --- |
| |
| # GITW (Glasses-in-the-Wild), re-split for 2D-keypoints-benchmark |
|
|
| A repackaging of the [Glasses-in-the-Wild dataset](https://zenodo.org/records/17288503) |
| (DOI [10.5281/zenodo.17288503](https://doi.org/10.5281/zenodo.17288503)) for use in |
| [2D-keypoints-benchmark](https://github.com/tlpss/2D-keypoints-benchmark). The images and keypoint |
| annotations are unchanged; only the splits and some metadata differ. |
|
|
| 1000 crowdsourced 256x256 images of transparent and partially filled drinking glasses, from 11 |
| participants over 60 scenes and 93 unique glass types. Each image shows one annotated glass, with |
| 5 keypoints: `bottom_front`, `top_left`, `top_right`, `top_front`, `fluid_level`. |
|
|
| ## What was changed |
|
|
| 1. **Splits.** The published validation split is used here as the **test** split, and a new |
| validation split (10%, seed 2024) is carved out of the published train split, so that model |
| selection never touches the reported test set. |
|
|
| | split | images | source | |
| |---|---|---| |
| | train | 621 | 90% of the published train split | |
| | val | 69 | 10% of the published train split | |
| | test | 310 | the published validation split, unchanged | |
|
|
| 2. **Bounding boxes added.** The published annotations contain keypoints only. An axis-aligned box |
| around the labeled keypoints (padded by 10%, clipped to the image) was added to each annotation, |
| because the YOLO conversion requires one. These boxes span the keypoints, not the full glass |
| silhouette. |
|
|
| The upstream `annotations.xml` (a CVAT export) is **not** used: it refers to the original |
| pre-anonymisation file names and shares no file name with the shipped images. The `annotations.json` |
| inside each `images/` folder is the authoritative source and was used instead. |
|
|
| ## Notes |
|
|
| Images are crops around a single glass, taken from photos that often contain several. Other glasses |
| are frequently visible inside a crop and are **not** annotated, so this data should not be used to |
| train or evaluate multi-instance detection. |
|
|
| ## License and attribution |
|
|
| CC-BY-4.0, inherited from the original dataset. Please cite the original authors: |
| Louis Adriaens, Thomas Lips, Mathieu De Coster, Andreas Verleysen and Francis wyffels (Ghent University), |
| *Glasses-in-the-Wild Dataset*, 2025, DOI 10.5281/zenodo.17288503. |
|
|
