However, it poses unique challenges for object detection due to small objects, complex backgrounds, and noise interference. To tackle these challenges, we propose YOLO-Air, a novel small object ...

Research students at LSU are working to decrease intersection crashes through implementing an artificial intelligence algorithm that can quickly detect and react to traffic lights.

The RA-Framework dynamically manages CPU, RAM, and disk storage resources for YOLO-based object detection, supporting multiple camera streams and scheduling mechanisms. The framework was implemented ...

This project provides real-time object detection and tracking capabilities from a camera feed. ├── main.py # Main application entry point ├── models/ # Model implementations │ ├── detector.py # YOLO ...

BENGALURU: Researchers at the Indian Institute of Science (IISc) have developed an innovative solution to a persistent challenge in Mixed Reality (MR) technology for industrial applications: the ...

In this tutorial, we will walk through each step to configure a Deeplodocus project for object detection on the COCO dataset using our implementation of YOLOv3. At the top of the file you'll see the ...