Earlier detection and diagnosis of cancer holds the greatest potential for transformational improvements in patient outcomes. We’re driving progress in this area and helping establish a sustainable ...
The Test_Images and ImageTransform_OrthogonalView are files contatining test images to rust_det.py and img_trans.py respectively. NOTE: the rust_det.py code was designed to work best on pictures of ...
Abstract: To improve the detection accuracy and computational efficiency of pavement crack identification, this study proposes an improved YOLOv8 framework. The model combines the lightweight Ghost ...
This project is a comprehensive attendance system that leverages the power of face recognition to identify individuals and mark their attendance. Built with Python, Flask, OpenCV, and Firebase, the ...
You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.
This project detects available and occupied parking spaces using the YOLOv8 object detection model. It uses video or image inputs and applies computer vision techniques to analyze parking lot ...
You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.
This project implements a real-time edge detection viewer using Android, C++ with OpenCV, OpenGL ES, and a TypeScript web viewer. It processes camera frames in real-time, applies Canny edge detection, ...
A sophisticated web-based spam detection application powered by machine learning that identifies spam messages with high accuracy using natural language processing and advanced AI algorithms.
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