CLARU
robrocc0-1.0

ObstacleNet VOC2007 Segmentation Masks

Binary segmentation masks derived from PASCAL VOC 2007, built for training the seg_net of the ObstacleNet robot-vision pipeline. Each mask is 28×28 pixels indicating obstacle vs. clear areas.

Downloads61
Episodes5011
Likes1

Why This Matters for Physical AI

This dataset enables training of obstacle detection models for robot vision systems, which is critical for safe autonomous navigation and manipulation in unstructured environments.

Technical Profile

Modalities
rgbsegmentation
Task Types
image-segmentation
Episodes
5011
Annotation Types
binary_masksegmentation
License
cc0-1.0
Part of the ObstacleNet family

Access

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