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 ...

This project focuses on building a robust object detection model for self-checkout systems, specifically targeting apple detection. While standard models like SSD and Faster R-CNN struggled with ...

Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). However, the complex underwater ...

In a leap forward for astronomy, a researcher has developed an artificial intelligence algorithm and discovered more than one million objects in space by parsing through understudied data from a NASA ...

Roblox announced Monday that it’s launching the first iteration of its 3D model, dubbed “Cube,” to allow creators to create 3D objects using generative AI. The company also launched an open source ...

Abstract: Object detection forms an important area of research where the efforts are still being put forth to improve the accuracy of detection. Several approaches have been made which also include ...

I tried to run the object detection using tensorflow example on macOS and it did not compile. The compilation errors are because of conflicting usage of conditions in ...

Abstract: Traditional methods in machine learning for detecting traffic lights and classification are replaced by the recent enhancements of deep learning object detection methods by success of ...