DeepLearning.Earth

Oriented and rotated object detection in aerial and satellite images — notes on the oriented-det package and related work.

October 10, 2026 Oriented-Det v0.4.0 — Rotated RTMDet, 77.60% Task 1
Oriented-det v0.4.0 is on PyPI — Rotated RTMDet-S at 77.60% official DOTA Task 1 (AP75 52.01), ahead of Oriented R-CNN, with the 3090 Ti training wall and the MMRotate latency next to it.
October 8, 2026 ONNX export in oriented-det — inference without PyTorch
oriented-det v0.3 ships pre-NMS ONNX export for Rotated FCOS, Oriented R-CNN, and Faster R-CNN. Consumers run ONNX Runtime + numpy + Pillow. Fixed 1024 canvas; keep_ratio and sliding windows stay out of graph.
October 5, 2026 Deploy oriented-det in Docker — Tile Geo Process, GeoJSON out
oriented-det v0.3 ships a Sanic Tile Geo Process example: bake a DOTA checkpoint into an NVIDIA CUDA image, POST a base64 tile, get oriented GeoJSON. PyTorch stays in the container. ONNX export is the thinner infer path.
October 1, 2026 HRSID in oriented-det — the larger SAR ship benchmark at 78.55%
Native HRSID loader in oriented-det v0.3: COCO polygons to le90, keep-ratio 800, Faster R-CNN 1× from DOTA Hub at 78.55% held-out rotated mAP50.
September 28, 2026 SSDD in oriented-det — optical DOTA to SAR ships in twelve epochs
Native SSDD SAR ship loader in oriented-det v0.3: keep-ratio 608, finetune DOTA Faster R-CNN 1×, held-out last-digit test 90.34% mAP50. No SSDD Hub zoo.
September 24, 2026 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.
September 21, 2026 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.
September 17, 2026 Lessons learned on DOTA: official Task 1, leaky val, and the last mile
What I would keep from four months on DOTA: the official Task 1 number, MMRotate as a neighbour in the same band, and a better box loss when ships are still a few degrees off.
September 13, 2026 HRSC2016 in oriented-det — recipes, trains, and a held-out 90.41%
Native HRSC2016 ship detection in oriented-det: ImageSets trainval in, held-out test out, three 3× Hub weights. Oriented R-CNN 90.41%, Faster R-CNN 88.77%, FCOS 88.34% mAP50 on NVIDIA L4.
September 10, 2026 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.
September 6, 2026 A static demo of three oriented detectors on optical satellite imagery
A browser demo of Oriented-Det’s three 3× DOTA checkpoints — Oriented R-CNN, Rotated Faster R-CNN, and Rotated FCOS — on six optical satellite scenes, with a side by side comparison that lands in parity with state of the art frameworks.
September 2, 2026 Rotated FCOS vs Oriented R-CNN on macOS
Hands-on Apple Silicon comparison of Hub 1× DOTA checkpoints — Rotated FCOS (73.07% official Task 1) vs Oriented R-CNN (76.73%) — MPS latency, 1× training wall on NVIDIA L4, score thresholds, and side-by-side detections.
August 28, 2026 Oriented-Det v0.2.0 — Rotated FCOS, decoded rIoU, and a four-family zoo
Oriented-det v0.2.0 is on PyPI — Rotated FCOS joins the zoo as the balanced one-stage detector, with a decoded rIoU 1× Hub checkpoint at 73.07% official DOTA Task 1, and the same Apache 2.0 stack.
July 11, 2026 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, a DOTA le90 zoo on official Task 1 led by Oriented R-CNN 1× at 76.73%, and a hands-on harbor-scene demo of the Faster R-CNN throughput pick.
July 10, 2026 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.
June 29, 2026 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.
June 25, 2026 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.
June 24, 2026 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.
June 23, 2026 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.
June 22, 2026 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.