Development of a Novel Object Detection System Based on Synthetic Data Generated from Unreal Game Engine

This paper presents a novel approach to training a real-world object detection system based on synthetic data utilizing state-of-the-art technologies. Training an object detection system can be challenging and time-consuming as machine learning requires substantial volumes of training data with asso...

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Bibliographic Details
Main Authors: Ingeborg Rasmussen, Sigurd Kvalsvik, Per-Arne Andersen, Teodor Nilsen Aune, Daniel Hagen
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/17/8534