Scientists have developed a new platform for the generation and detection of ultrashort UV-C laser pulses on femtosecond ...
In two separate blog posts, the Menlo Park-based tech giant detailed the new AI models. There are three models in total. SAM 3 for image and video tracking and segmentation, SAM 3D Objects for ...
This repository contains a comprehensive, end-to-end tutorial with Python notebooks demonstrating object detection using Azure AutoML for Images. The notebooks guide you through the complete workflow ...
Abstract: Every year in India, the automobile sector is achieving new milestones, but with the increase of vehicles on the road there comes a serious problem of road accidents and road rage. Due to ...
Spiking Neural Networks (SNNs), inspired by neuroscience principles, have gained attention for their energy efficiency. However, directly trained SNNs lag behind Artificial Neural Networks (ANNs) in ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...
Abstract: This study introduces a deep learning method for automatically detecting bone fractures with the YOLOv8 object detection model, developed to aid radiologists in accurately and efficiently ...
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 ...
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