Object-Detection-using-Deep-Learning-OpenCV-and-Powerful-Python-Libraries. This project utilizes the Deep Learning model ( YOLOv3-tiny model ) for object detection in images , video and real time ...

We are using YOLOv3, in particular, YOLO trained on the COCO dataset. The COCO dataset consists of 80 labels, including, but not limited to: People Bicycles Cars and trucks Airplanes Stop signs and ...

These parameter-varied simulations are used to train sensitive 2D CNN object detectors. When combined with 1D histogram peak detection algorithms, this multi-modal detection framework is highly adept ...

The most often adopted methodologies for contemporary machine learning techniques to execute a variety of responsibilities on embedded devices are mobile networks and multimodal neural networks. In ...