IEEE

A Comprehensive Review of YOLO Object Detection Models Across Diverse Domains: Evolution, Adaptations, and Performance Benchmarks

Abstract: Object detection is a core computer vision problem that requires real-time performance as an indispensable companion of accuracy. The YOLO family (You Only Look Once) has gained popularity ...
IEEE

Omni-Scan: Creating Visually-Accurate Digital Twin Object Models Using a Bimanual Robot with Handover and Gaussian Splat Merging

Abstract: 3D Gaussian Splats (3DGSs) are 3D object models derived from multi-view images. Such “digital twins” are useful for simulations, virtual reality, E-commerce, robot policy fine-tuning, and ...
GitHub

negative-testing

This project implements a Page Object Model (POM) structure and Data Driven Testing Framework for automated testing of the HRM web application. This project implements a Page Object Model (POM) ...
Hacker

Ten Years in Test, Three Different Worlds: What I Learned Moving from Web to Embedded to AI

Senior SDET with 10 years in API & Embedded systems. Created AI bug triage and Fire TV power automation at Amazon. Senior SDET with 10 years in API & Embedded systems. Created AI bug triage and Fire ...