A YOLO Model for Grocery Object Detection. ... I chose to use a YOLOv3 model over other popular object detection techniques such as Faster RCNN. ... but I have included a short gif below. Challenges ...

This project uses the YOLO (You Only Look Once) model for real-time object detection with a webcam feed. Detected objects are annotated on the video, saved as images, and logged into a MySQL database ...

The CA-YOLO (Coordinate Attention-YOLO) model has been optimized for object detection in complex remote sensing images, addressing key issues faced by algorithms that detect multiple objects. These ...

All About YOLO V9. YOLO v9 emerges as a cutting-edge model, boasting innovative features that will play an important role in the further development of object detection, image segmentation, and ...

The CBAM module improves feature selection by incorporating channel and spatial attention mechanisms, thereby enhancing the robustness of small-object detection under complex urban conditions. The ...

YOLO (You Only Look Once) is an advanced deep learning software framework for object detection that can process an image in just one run, and consequently, this improves efficiency.

Laurent Itti, Jevois’ Founder and professor of Computer Science, Psychology, and Neuroscience at the University of Southern California, provides some more insights and explains how YOLO-Jevois works: ...