Tag: Fair1m
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FAIR1M in oriented-det — 37 classes, and why 36.70% is not a failed train
Native FAIR1M support in oriented-det v0.3: convert + tile, finetune DOTA 1× Faster R-CNN, tiled-val 36.70% mAP50. The bottleneck is class ID, not boxes. No Hub zoo — CC BY-NC-SA dump.
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Oriented-Det v0.3.1 — four datasets, ONNX, and RetinaNet OBB
Oriented-det v0.3.1 is on PyPI — native HRSC2016, FAIR1M, SSDD, and HRSID loaders, HRSC Hub 3× zoo, DOTA advertised from 1×, RetinaNet Hub OBB, and ONNX export.