tlpss2025cc-by-4.0
GITW (Glasses-in-the-Wild), re-split for 2D-keypoints-benchmark
A repackaging of the Glasses-in-the-Wild dataset containing 1000 crowdsourced 256x256 images of transparent and partially filled drinking glasses with 5 keypoint annotations per image for keypoint detection tasks.
Downloads0
Episodes1000
Why This Matters for Physical AI
This dataset enables training of robust keypoint detection models on transparent objects, which is critical for robotic manipulation and vision systems that must handle reflective and non-opaque materials.
Technical Profile
- Modalities
- rgb
- Environment
- lab
- Task Types
- keypoint-detection
- Episodes
- 1000
- Annotation Types
- keypointsbounding_boxes
- License
- cc-by-4.0
Access
Need custom rgb data?
Claru builds purpose-built datasets for lab applications with dense human annotations and quality assurance.
Request a Sample Pack