Abstract: Object detection is a fundamental computer vision task that simultaneously locates and categorizes objects in images and videos. It is utilized in various fields, such as autonomous driving, ...

This project inherits the property of our pytorch implementation of faster r-cnn. Hence, it also has the following unique features: It is pure Pytorch code. We convert all the numpy implementations to ...

Traffic management is an important issue plaguing well-established and rapidly growing cities. Due to bad traffic management and accidents, there is a huge loss in productivity as people spend a lot ...

Ailsa Ostovitz has been accused of using AI on three assignments in two different classes this school year. "It's mentally exhausting because it's like I know this is my work," says Ostovitz, 17. "I ...

Abstract: Adverse weather conditions significantly impact the performance of autonomous driving object detection systems, leading to reduced detection accuracy and an increased false detection rate.

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...