Abstract: Intelligent recognition technology is an extremely important research content in artificial intelligence and an important part of modern intelligent handling systems. For this project, a ...

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ABSTRACT: AI techniques are proving unbeatable in the fight for supremacy in methods of evaluation, optimization, control, object recognition, sensor monitoring, image interpretation, machine learning ...

This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects from a webcam feed or uploaded images ...

The objective of this study was to validate equipment and procedures involved in implementing the novel object recognition (NOR) paradigm with young pigs. Two experiments were run with the intent of ...

Abstract: Object detection is a foundation process in computer vision having widespread applications in autonomous driving, medical diagnostics and security monitoring. Recent advancements and ...

1 Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, United States 2 Department of Electrical Engineering, Princeton University, Princeton, NJ, United States The ...

This dataset contains multi-view images for 300 3D objects that are rigid and sufficiently textured. Each 3D object has ~250 images (1280 by 720 pixels) captured from different viewpoints with a clean ...