I developed an object detection model that can detect Vehicle, Pedestrians and Signboards with great accuracy by finetuning a yolo v8 on a curated dataset which I developed by by taking frames from a ...

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge ...

followed by a classifier to detect objects. Vision Transformers apply transformer models to image data, achieving state-of-the-art results in object detection by capturing long-range dependencies in ...

Microsoft is rolling out a new tool dubbed "scareware blocker," which uses machine learning and computer vision to identify a very pervasive type of online scam. "Scareware" has blighted the web ...

This Vision Based Navigation (VBN) system enables satellites to identify and approach or avoid other objects in space with the help of AI—in a way akin to self-driving cars. "As the satellite ...

When designing a robot, such as Boston Dynamics' anthropomorphic robot Atlas, which appears exercising and sorting boxes, fiducial markers are the guides that help them move, detect objects and ...

Abstract: Association is crucial but easy to be neglected in radar and vision object-level fusion. Measurement uncertainty, consisting of complementary random errors ...