Abstract: Underwater object detection is crucial for marine exploration but faces challenges like low image quality, severe object overlap, and detection of small, diverse targets. This paper presents ...

This project demonstrates real-time human action recognition using a pre-trained deep learning model (ResNet-34 trained on Kinetics-400) with OpenCV. It can process input from a live webcam (or video ...

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Abstract: In the ever-expanding urban landscape, traffic congestion remains a formidable challenge, necessitating the development of intelligent, adaptive traffic management frameworks. This research ...

A user-friendly desktop application for real-time and file-based object detection using the YOLOv8 model. This tool provides an intuitive graphical user interface (GUI) to perform object detection on ...