hukaixuan19970627/yolov5_obb
A YOLOv5 implementation extended with Circular Smooth Label for oriented object detection on aerial imagery.
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This repository adapts YOLOv5 to perform rotated bounding box detection for oriented objects, which is useful for aerial and satellite imagery where objects appear at various angles. It implements the Circular Smooth Label (CSL) technique from the associated research paper to handle angle prediction in a classification-like manner. The project provides pre-trained models and training/inference pipelines evaluated on the DOTA dataset.
Frequently asked
- What is hukaixuan19970627/yolov5_obb?
- A YOLOv5 implementation extended with Circular Smooth Label for oriented object detection on aerial imagery.
- Is yolov5_obb open source?
- Yes — hukaixuan19970627/yolov5_obb is open source, released under the GPL-3.0 license.
- What language is yolov5_obb written in?
- hukaixuan19970627/yolov5_obb is primarily written in Python.
- How popular is yolov5_obb?
- hukaixuan19970627/yolov5_obb has 1.9k stars on GitHub.
- Where can I find yolov5_obb?
- hukaixuan19970627/yolov5_obb is on GitHub at https://github.com/hukaixuan19970627/yolov5_obb.