This project is an object detection and counting system designed to track and count objects (e.g., gunny bags) in a video using the YOLO (You Only Look Once) model. The system processes video frames, ...
Abstract: Accurate and efficient small object detection using multimodal remote sensing images on resource-constrained aerial platforms is a challenging task. Most existing solutions rely on complex ...
This project is a Face Detection Web Application built using Python, OpenCV, and Streamlit. It allows users to upload an image or use their webcam in real-time to detect faces.
Abstract: Autonomous aerial vehicle (AAV) object detection in aerial images presents substantial value but also considerable challenges. UAV images often exhibit characteristics such as a high ...