OpenCV dnn module supports running inference on pre-trained deep learning models from popular frameworks like Caffe, Torch and TensorFlow. When it comes to object detection, popular detection ...

Object Detection Using OpenCV Python This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects ...

Object detection is a foundation process in computer vision having widespread applications in autonomous driving, medical diagnostics and security monitoring. Recent advancements and development in ...

In this paper, we propose a track-by-detection approach to detect and track small moving targets by using a convolutional neural network and a Bayesian tracker. Our object detection consists of a ...

The study introduces a Python-based method for real-time object detection, utilizing deep learning architectures like Convolutional Neural Networks (CNNs) and Single Shot MultiBox Detector (SSD).