https://deeplearning.earth/tags/release/Recent content in Release on DeepLearning.EarthHugo -- gohugo.ioen-usSat, 11 Jul 2026 11:00:00 +0700https://deeplearning.earth/posts/2026-07-11_oriented-det_v0_1_1_prob_iou_mmrotate_parity_and_the_updated_zoo/Sat, 11 Jul 2026 09:00:00 +0700https://deeplearning.earth/posts/2026-07-11_oriented-det_v0_1_1_prob_iou_mmrotate_parity_and_the_updated_zoo/Six weeks after v0.1.0, Oriented-Det v0.1.1 is on PyPI and tagged on GitHub. This is the release that packages the ProbIoU work, closes several MMRotate parity gaps in the training stack, and publishes the full eval-val protocol we have been using internally. If you already read Rotated Faster R-CNN on DOTA without custom CUDA, you have seen the technical story behind the headline number. This post is the release note: what changed, how to upgrade, and what to watch for.https://deeplearning.earth/posts/2026-06-22_oriented-det_v0_1_0_sovereign_oriented_object_detection_for_eo/Mon, 22 Jun 2026 09:00:00 +0700https://deeplearning.earth/posts/2026-06-22_oriented-det_v0_1_0_sovereign_oriented_object_detection_for_eo/In May I announced that Oriented-det was coming. Today it is here. Oriented-Det v0.1.0 is officially released under the Apache 2.0 license, available on PyPI as oriented-det, and fully documented. This post covers the main ideas behind the framework and how to get started. What is Oriented-det? Link to heading Oriented-det is a lightweight PyTorch library for rotated object detection in aerial and satellite imagery. It targets the workflows where orientation actually matters — ships in a harbor, aircraft on an apron, vehicles in a dense parking lot — and where axis-aligned boxes simply miss the point.