CLARU
robrocc0-1.0

ObstacleNet VOC2007 Segmentation Masks

Binary segmentation masks derived from PASCAL VOC 2007, designed for training the seg_net component of the ObstacleNet robot-vision pipeline. Each mask is 28×28 pixels indicating obstacles versus clear space.

Downloads34
Episodes5011

Why This Matters for Physical AI

This dataset enables training of vision systems for obstacle detection in robotic navigation and manipulation tasks by providing pixel-level binary masks of objects in real-world scenes.

Technical Profile

Modalities
rgbsegmentation
Task Types
obstacle_detectionimage_segmentation
Episodes
5011
Annotation Types
segmentationbinary_mask
License
cc0-1.0
Part of the ObstacleNet family

Access

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