Accurate and efficient small object detection using multimodal remote sensing images on resource-constrained aerial platforms is a challenging task. Most existing solutions rely on complex networks to ...

Yes, it still makes plenty of mistakes, but it has become part of the job for many.

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YOLO models were employed for training because of its advanced capabilities for real-time object detection and superior performance in terms of speed and accuracy.

New imaging technologies achieve real-time boundary detection, single-shot high-dynamic range imaging Applications include advanced manufacturing, autonomous navigation, medical imaging, surveillance ...

YOLO (You Only Look Once), as an efficient and real-time object detection algorithm, has achieved promising applications in various fields. Its simple structure and fast processing speed make it ...

Roboflow allows you to create object detection datasets from scratch or convert existing datasets from formats like YOLO, and then export them in COCO JSON format for training. You can also explore ...

The most essential function for fully automated driving is object recognition, as the car has to avoid obstacles. However currently, applying the technology can be challenging as they cost a lot of ...