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 ...

AI and Deep Learning for computer vision projects has come to the masses. This can be attributed partly to the community projects that help ease the pain for newbies. [Abhishek] contributes one su… ...

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 ...