Abstract: In this paper, we propose a hybrid model combining YOLOv8 with improved Generative Adversarial Networks (GANs) to further improve performance detecting moving objects under challenging ...

Abstract: Object detection in event streams has emerged as a cutting-edge research area, demonstrating superior performance in low-light conditions, scenarios with motion blur, and rapid movements.

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: ...

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

Google IT Automation with Python Certificate This advanced version of the Google IT Support certificate teaches learners how to automate IT tasks using Python, Git and IT tools. The program includes ...

Initiative spans an IVD assay and a new Revvity Omics lab-developed test to expand clinical testing for early-stage disease screening T1D is a lifelong, progressive autoimmune condition that occurs ...

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 ...

Spending hours manually creating address objects on your Palo Alto Networks firewall? There’s a smarter, faster way! This guide will show you how to leverage the Pan-OS REST API and Python to automate ...

Tired of manually creating address objects one by one in your Palo Alto Networks firewall? There’s a better way! This comprehensive guide will show you how to leverage the power of the Pan-OS Python ...