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 ...

Abstract: Remotely sensed imagery’s resolution has risen significantly in both the spectral and spatial domains during the past few years, providing a large amount of spectral and spatial data. This ...

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 ...

To show a live webcam and detect the object in the camera from WSL is a challenging task, here is how I solve the problem. Follow these is the steps: Step 1: Install USBIPD-WIN Install usbipd service ...

The early diagnosis and accurate classification of lung cancer have a critical impact on clinical treatment and patient survival. The rise of artificial intelligence technology has led to ...

This project is a GUI-based object classification tool that uses OpenCV and PyQt5. It enables users to load images, extract histogram-based features, and train a classification model. The key ...