Python is one of the most popular languages for developing AI and computer vision projects. With the power of OpenCV and face detection libraries, you can build smart systems that can make decisions ...

Detecting objects in foggy scenes remains a persistent challenge, as detectors trained for fair weather often struggle with foggy data due to blurring effects. Previous methods based on domain ...

A high-performance, privacy-first web application for real-time object detection that runs entirely in your browser using WebGPU acceleration and ONNXRuntime-Web. No server required, no data leaves ...

This repository provides an edge-based method for detecting interfaces of an aqueous sample in a vial. It was initially developed for the autoHSP workflow to automate the result analysis through image ...

Abstract: Open-world object detection (OWOD) extends object detection problem to a realistic and dynamic scenario, where a detection model is required to be capable of detecting both known and unknown ...