Abstract: With the extraordinary growth in images and video data sets, there is a mind-boggling want for programmed understanding and evaluation of data with the assistance of smart frameworks, since ...

A real-time face recognition-based attendance system built with Python, OpenCV, and the face_recognition library (powered by dlib's state-of-the-art deep learning models).

The retail and Consumer Packaged Goods (CPG) industries are undergoing a profound change, driven by the wins and failures of integrating artificial intelligence (AI) and image recognition (IR) into ...

ABSTRACT: Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...

AI ML based Image enhancement module built in Python. It is used for improving the quality of images using different filters in openCV. It works better with gray-scale images.