: Oriented-Det
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Oriented-Det v0.1.1 — ProbIoU, MMRotate parity, and the updated zoo
Oriented-det v0.1.1 is on PyPI — ProbIoU ROI regression, MMRotate-aligned training fixes, published eval reports, a refreshed DOTA le90 zoo led by Rotated Faster R-CNN 3× at 83.42% eval-val mAP50 (~7× faster inference than Oriented R-CNN 3×), and a hands-on harbor-scene demo.
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Rotated Faster R-CNN on DOTA without custom CUDA: sampled rIoU, ProbIoU, and an 83.4% checkpoint
Why OrientedDet avoids MMRotate's exact CUDA IoU kernels, how ProbIoU trains oriented boxes in pure PyTorch, and results from our published 3× DOTA le90 model.
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Announcing the Oriented R-CNN 3× pretrained model
The OrientedDet DOTA le90 pretrained zoo is complete. Oriented R-CNN 3× reaches 79.4% eval-val mAP50; Rotated Faster R-CNN 3× with ProbIoU now leads the zoo at 83.4%.
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Zero-shot Ship detection on a Copernicus Sentinel-2 tile with Oriented R-CNN
A practical zero-shot experiment with a DOTA-pretrained Oriented R-CNN model on a 10 m Copernicus Sentinel-2 tile, including zoomed sliding-window inference and ship-only filtering.
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Oriented object detection on macOS, in pure Python
Run Oriented R-CNN on Apple Silicon with pip, uv, and the odet CLI — no CUDA toolchain, from demo.jpg to result.jpg in minutes.
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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.
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Oriented-Det v0.1.0 is out — sovereign oriented object detection for EO
Oriented-det v0.1.0 is on PyPI under Apache 2.0 — a lightweight PyTorch library for rotated object detection in aerial and satellite imagery, with DOTA baselines and pretrained weights.
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Oriented-det is coming: sovereign oriented detection for EO
A sovereign, Apache-licensed oriented detection stack for EO, targeting an official release in June 2026.