Patent-pending imaging technologies created in Purdue University's College of Engineering could be developed and ...

Kevin Wu, in the third year of a combined bachelor's and master's program in computer science, and Xiaojian (Jason) Sun, a robotics graduate student, created an AI-powered computer vision system ...

A Pythonic approach to object detection using Detectron2, a clean, modular framework for training and deploying computer vision models. DetectX simplifies the complexity of object detection while ...

I have the vision, a special vision and an undying passion for building a new Bihar,” said the young leader, who is likely to spearhead the Mahagathbandhan, which had snapped at the heels of the NDA ...

Abstract: Roadside vision-based 3D object detection is vital in many applications, such as autonomous driving. The mainstream methods enhance the accuracy of distance estimation by converting ...

Note: This model has been trained for approximately 2.7M steps (batch size = 1) and is still in the training process. I have attached a .ipynb file in the repository. You can refer to it to know how ...

In this paper, we introduce a deep learning-based vision system implemented ... Moreover, instead of performing on-line detection on one fruit at a time, our proposed system can perform detection and ...

Object detection and recognition are an integral part of computer vision systems. In computer vision, the work begins with a breakdown of the scene into components that a computer can see and analyse.