Additionally, deep object detection networks require powerful and expensive GPUs. We propose a novel system that we call ODDS (Object Detector using a Depth Sensor) that can detect objects in ...

This project develops a cost-effective and lightweight framework for object ... depth estimation using a single camera. By integrating YOLOv5 for object detection and a custom neural network for ...

Image classification is very useful for many applications. For example, a security camera can use ... use single-shot detection to provide near real-time object detection. But their memory ...

Charney School of Marine Sciences, University of Haifa, at 45 metres depth, takes a detailed photograph of corals on the sea bed using an underwater camera ... 3D images in real-time using new ...

The project focuses on two core tasks using the SynDrone dataset: Object Detection: Fine-tuning the YOLO v11 model to detect vehicles (cars and trucks) in RGB drone images, generating accurate ...