https://deeplearning.earth/tags/fine-grained/Recent content in Fine-Grained on DeepLearning.EarthHugo -- gohugo.ioen-usThu, 24 Sep 2026 09:00:00 +0700https://deeplearning.earth/posts/2026-09-24_fair1m_fine_grained_oriented_detection/Thu, 24 Sep 2026 09:00:00 +0700https://deeplearning.earth/posts/2026-09-24_fair1m_fine_grained_oriented_detection/DOTA is the pretrain zoo. FAIR1M is the fine-grained optical set — 37 classes under five coarse groups. oriented-det v0.3 loads it natively, converts to DOTA folders, tiles 1024/200, and finetunes the matching DOTA 1× Hub checkpoint. There is no FAIR1M Hub zoo. A full 12-epoch Rotated Faster R-CNN finetune reached 36.70% mAP50 on official val tiles. That looks terrible next to DOTA ~74% Task 1. It is in band for FAIR1M Faster R-CNN (literature ~31–35%; Oriented R-CNN papers ~39–42%).