This repository contains multiple samples demonstrating how to use YOLO models with the ZED camera, utilizing the highly optimized TensorRT library, as well as a Python sample that uses PyTorch and ...

An AI-powered device detecting Mahindra Thar SUVs in real-time has gone viral, transforming a common traffic complaint into ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

That is exactly what this Raspberry Pi object detection project demonstrates. You can build a fully working object detection ...

Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, traffic analysis, and autonomous systems. But the same wide-angle vision ...

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

The YOLO methods used in this software are described in the paper: You Only Look Once: Unified, Real-Time Object Detection. If you are using YOLO V3 for ROS, please ...

With accelerating urbanization and expanding public transportation networks, security checks has become pivotal in safeguarding public spaces. X-ray image-based security checks for prohibited items ...

In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was improved.

Object detection has been a fundamental challenge in the computer vision industry, with applications in robotics, image understanding, autonomous vehicles, and image recognition. In recent years, ...

July 6th 2022 will be marked down as a landmark in AI history because it was on this day when YOLOv7 was released. Ever since its launch, the YOLOv7 has been the hottest topic in the Computer Vision ...