iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images

CVPR Workshops, pp. 28-37, 2019.

Cited by: 6|Bibtex|Views44|Links
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Abstract:

Existing Earth Vision datasets are either suitable for semantic segmentation or object detection. In this work, we introduce the first benchmark dataset for instance segmentation in aerial imagery that combines instance-level object detection and pixel-level segmentation tasks. In comparison to instance segmentation in natural scenes, a...More

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