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Abstract: Object detection is a fundamental task in computer vision, involving the prediction of bounding boxes and class labels for Regions of Interest (ROI) within images. Traditionally, ...

The optimized detection model is integrated into both a mobile application and a dedicated edge device, demonstrating that real-time waste detection can operate reliably without cloud connectivity.

Raspberry Pi AI HAT 1 and 2 compared with real FPS numbers and 8 GB RAM on AI HAT 2, so you pick faster hardware for your build.

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

Using google scholar search for computer vision occupancy detection systems or even general occupancy detection system as well as any objec tdetection using computer ...

Alibaba’s Qwen team has launched Qwen3-VL, its most powerful vision-language model series to date. Released on September 23, the flagship is a massive 235-billion-parameter model made freely available ...

1 Institute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Guanghan, China 2 School of Information Engineering, Southwest University of Science and Technology, ...

Researchers developed a new fruit detector, YOLOcF, and a corresponding dataset, CFruit, to improve fruit detection in real-world agricultural settings YOLOcF achieved comparable accuracy to ...

Georgia Tech’s fast start has caught the attention of the computer models. Bill Connelly’s ESPN SP+ projections listed the Yellow Jackets as slight favorites over longtime rival Clemson despite ...