The Real-Time Object Detection System is an open-source computer vision project designed to detect, classify, and track multiple objects in real time using state-of-the-art YOLO models. The system ...

This Python tutorial explains how functions work and why they are essential for writing reusable, organized code. The lesson begins with creating a basic function using the def keyword, calling it, ...

In this tutorial, we work through an end-to-end workflow for Qualcomm AI Hub Models. We start by setting up the required package, discovering the available model collection, and loading MobileNet-V2 ...

Object detection: YOLOv11 notebooks for finding objects in images. Object tracking: OpenCV scripts for following a selected object frame by frame. It is useful as a learning and showcase repo because ...

Abstract: Camouflaged object detection involves identifying camouflaged objects visually blended into the surroundings, holding crucial significance in various visual applications. Existing methods ...

So, you want to learn Python, huh? It’s a pretty popular language these days, used for all sorts of things like making websites, crunching data, and even AI. The good news is, you don’t need to spend ...

Abstract: The rapid growth of computer vision and deep learning has revolutionized the field of image analysis, enabling machines to understand, interpret, and generate visual data with remarkable ...

Summary: As AI-generated imagery becomes increasingly indistinguishable from reality, a new study reveals that the ability to spot a “deepfake” isn’t about how much you know about technology—it’s ...