: Dota
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Apache 2.0 covers oriented-det. It does not cover DOTA or HRSC.
The oriented-det framework is Apache 2.0. DOTA and HRSC are research datasets with no commercial grant. Production detectors are trained on your own licensed imagery — this is not legal advice.
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Rotated Faster R-CNN on DOTA without custom CUDA: sampled rIoU, ProbIoU, and a 74.42% Task 1 checkpoint
Why OrientedDet avoids MMRotate's exact CUDA IoU kernels, how ProbIoU trains oriented boxes in pure PyTorch, and why the 1× Rotated Faster R-CNN Hub weight beats MMRotate on official DOTA Task 1.
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Sliding-window inference on images larger than the DOTA canvas
How odet image-demo tiles images larger than 1024×1024, merges overlapping windows, and filters classes — using the Oriented R-CNN 1× Hub checkpoint retrained after a diagonal-flip bug.
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Oriented R-CNN detections for the 15 DOTA classes
A visual tour of Oriented R-CNN detections across the 15 original DOTA v1.0 aerial object classes.