Enhancing Object Detection Performance for Small Objects through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios

no code implementations • 23 Jan 2024 • Jibinraj Antony, Vinit Hegiste, Ali Nazeri, Hooman Tavakoli, Snehal Walunj, Christiane Plociennik, Martin Ruskowski

Object Detection (OD) has proven to be a significant computer vision method in extracting localized class information and has multiple applications in the industry.

object-detection Object Detection +1

Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications

no code implementations • 21 Mar 2022 • Jože M. Rožanec, Inna Novalija, Patrik Zajec, Klemen Kenda, Hooman Tavakoli, Sungho Suh, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia Anna Menesidou, Ruben Alonso, Nino Cauli, Antonello Meloni, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, Blaž Fortuna, Dunja Mladenić, John Soldatos

Human-centricity is the core value behind the evolution of manufacturing towards Industry 5. 0.

Active Learning Decision Making +1

Small Object Detection for Near Real-Time Egocentric Perception in a Manual Assembly Scenario

no code implementations • 11 Jun 2021 • Hooman Tavakoli, Snehal Walunj, Parsha Pahlevannejad, Christiane Plociennik, Martin Ruskowski

We describe a near real-time small object detection pipeline for egocentric perception in a manual assembly scenario: We generate a training data set based on CAD data and realistic backgrounds in Unity.

object-detection Small Object Detection +1