https://deeplearning.earth/tags/dataset/Recent content in Dataset on DeepLearning.EarthHugo -- gohugo.ioen-usTue, 23 Jun 2026 09:00:00 +0700https://deeplearning.earth/posts/2026-06-23_oriented_rcnn_detections_for_the_15_dota_classes/Tue, 23 Jun 2026 09:00:00 +0700https://deeplearning.earth/posts/2026-06-23_oriented_rcnn_detections_for_the_15_dota_classes/Oriented object detection becomes concrete when you look at the boxes. In this post we will walk through detections produced by Oriented R-CNN on the 15 original classes from DOTA v1.0, the benchmark dataset that shaped much of the modern work on rotated object detection in aerial imagery. DOTA matters because it is not a neat toy dataset. Its images contain large scenes, dense object layouts, arbitrary object directions, and strong scale variation.