Introducing Cornea: Image Segmentation Skills from the Telekinesis Agentic Skill library.
Cornea is a module in the Telekinesis Agentic Skill Library containing skills for 2D image segmentation: https://docs.telekinesis.ai/
It provides segmentation capabilities using classical computer vision techniques and deep learning models, allowing developers to extract structured visual information from images for robotics applications.
What Does Cornea Provide?
- Color-based segmentation: RGB, HSV, LAB, YCrCb
- Region-based segmentation: Focus region, Watershed, Flood fill
- Deep learning segmentation: BiRefNet (foreground), SAM
- Graph-based segmentation: GrabCut
- Superpixel segmentation: Felzenszwalb, SLIC
- Filtering: Filter by area, color, mask
- Thresholding: Global threshold, Otsu, Local, Yen, Adaptive, Laplacian-based
When to Use Cornea?
Use Cornea for robotics applications that require pixel-level understanding of images, such as:
- Vision-guided pick-and-place pipelines
- Palletizing and bin organization
- Object isolation for manipulation and grasp planning
- Obstacle detection in camera-based navigation
- Scene understanding for Physical AI agents
