Image classification is one of AI’s most common tasks, where a system is required to recognize an object from a given image. Yet real life requires us to recognize not a single standalone object but ...

This project implements a comprehensive Computer Vision MLOps pipeline for aerial object analysis, specifically designed to classify and detect birds vs drones in aerial imagery. The system combines: ...

Object recognition through random scattering media has been an important but challenging task in many fields, such as biomedical imaging, oceanography, security, robotics, and autonomous driving.

Machine vision systems have many applications, including self-driving cars, intelligent manufacturing, robotic surgery and biomedical imaging, among many others. Most of these machine vision systems ...

Abstract: Deep object classification is an effective method for land-cover classification in remote sensing images, requiring fewer samples and achieving clearer classification boundaries. However, ...

Abstract: 3D classification is complex and challenging because of high-dimensional data, the intricate nature of their spatial relationships, and viewpoint variations. We fill the gap in view-based 3D ...

git clone https://github.com/bhushanasati25/Multiclass-Object-Classification-in-Autonomous-Driving.git cd Multiclass-Object-Classification-in-Autonomous-Driving pip ...