This project aims to demonstrate how to configure visible and infrared datasets to accommodate multimodal object detection tasks based on YOLOv11 ... Label files for visible light images (e.g., ...

Object detection, particularly open-vocabulary object detection ... (Optional) For high resolution remote sensing images, we crop to 1024x1024 size, python LAE-Label/crop_huge_images.py --input_folder ...

Template strings, deferred annotations, better error messages, and a new debugger interface are among the goodies in Python 3 ...

Abstract: The few-shot object detection (FSOD) in remote sensing (RS) faces a fundamental challenge in balancing contextual feature learning with the representation stability. Current approaches ...