Binary segmentation masks derived from PASCAL VOC 2007, built for training
the seg_net of the ObstacleNet
robot-vision pipeline.
What is in each row?
Each row contains the original JPEG image and a 28×28 binary mask where
255 = obstacle (any object bounding box covers this pixel) and 0 = clear.
The mask is 28×28 to match the SegNet output: 32×32 input → two 3×3 convolutions
without padding → 28×28 output.
Superclass mapping… See the full description on the dataset page: https://huggingface.co/datasets/robro/obstaclenet-voc2007-bbox.
