https://deeplearning.earth/tags/hrsid/Recent content in Hrsid on DeepLearning.EarthHugo -- gohugo.ioenThu, 01 Oct 2026 06:00:00 +0700https://deeplearning.earth/posts/2026-10-01_hrsid_sar_ship_benchmark/Thu, 01 Oct 2026 06:00:00 +0700https://deeplearning.earth/posts/2026-10-01_hrsid_sar_ship_benchmark/Two SAR ship benchmarks, two different jobs. SSDD is the small-chip sanity check (~90% held-out). HRSID (Wei et al., IEEE Access 2020) is the larger, higher-resolution set: 5,604 800×800 chips, 16,951 ships, Sentinel-1B / TerraSAR-X / TanDEM-X, 0.5–3 m. oriented-det v0.3 loads it natively (dataset.format: hrsid). A full Faster R-CNN 1× finetune from the DOTA Hub reached 78.55% mAP50 on official held-out test — rotated IoU on min-area rectangles. There is no HRSID Hub slug.https://deeplearning.earth/posts/2026-09-21_oriented-det_v0_3_0_four_datasets_and_onnx/Mon, 21 Sep 2026 09:00:00 +0700https://deeplearning.earth/posts/2026-09-21_oriented-det_v0_3_0_four_datasets_and_onnx/Three weeks after v0.2.0, Oriented-Det v0.3.1 is on PyPI and tagged on GitHub. This is the dataset + deploy chapter (0.3.0) plus a same-day patch: Rotated RetinaNet Hub is OBB, odet export is a first-class CLI, and deploy sidecars match Hub class lists. The four ResNet-FPN detector families stay. What landed is four native loaders, an HRSC Hub 3× zoo, a DOTA zoo you should advertise from 1×, and ONNX export.