NuML Studio is optimized for Windows and provides a "ready-to-use" version that does not require users to install Python or ...

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

As adults, it is our duty to follow traffic rules, and the most important rule is to wear a helmet while riding a two-wheeler and not to cross the speed limit. It's not a rule, but it's also for ...

Abstract: Object detection in complex maritime environments is particularly challenging due to factors such as dynamic backgrounds, varying object appearances, and limited computational resources ...

The protection dog specialists at DARKDYNASTYK9S document a trained dog demonstrating underwater object detection and retrieval abilities. He was fooling around on the edge - then his hand suddenly ...

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.

This framework is a research-grade, production-ready perception system combining classical computer vision and deep learning into a unified, modular pipeline. It is built for developers and ...

Classical lane detection (CLAHE → ROI → BEV → Sliding Window → Polynomial Fit) running at 28 FPS on GPU and 11 FPS on CPU YOLOv8-based traffic object detection with COCO road-class filtering Flask ...

Abstract: Camouflaged Object Detection (COD) aims to segment objects resembling their environment. To address the challenges of extensive annotations and complex optimizations in supervised learning, ...