Here is a the system design for YOLO object detection using python and OpenCV-Data Collection and Preparation - Firstly, collected a large dataset of images and videos with the objects you want to ...

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 ...

Computer Vision is a technology in which computers are trained using machine learning and deep learning algorithms to recognize and process objects from video/images in the same way that humans do.

The paper has covered topics ranging from how artificial intelligence and machine learning algorithms help in object detection to how OpenCV is such a useful tool for beginners who wish to learn how ...

In this paper, we present improvements and further results of our work presented by Aguilar et al. (2021) where we detect small objects using motion and appearance information. We use three ...

However, considering the small network size, adding object detection classes will increase the size and memory consumption of the network, thus object detection with up to 3 classes is demonstrated.