The objects of interest must be annotated with a bounding box for the machine learning software to know what, where, and how many objects to detect. When creating an accurate object detection system, it is necessary to provide a vast number of data consisting of the preferable objects. In addition, the paper provides valuable insight into how the number of assets and training data influence the resulting model. However, the models showcase a lot of potential for improvements regarding the stability and confidence of the inference results. The results of this study show that it is possible to train a real-world object detection system on synthetic data. The final models were deployed in simulation and in the real world to evaluate the training. Finally, a modern neural network was used to train the object detection system, providing a robust framework for an adaptive and self-learning model. The randomized environment was reinforced by adding high-dynamic-range image scenes. In addition, a comprehensive domain randomized environment was implemented to create a robust dataset that generalizes the training data well. A state-of-the-art game engine, Unreal Engine 4, was used to approach the challenge of generating a photorealistic dataset for deep learning model training. However, the main challenge is creating a balanced dataset that closes the reality gap and generalizes well when deployed in the real world. Synthetic data can solve this by providing unlimited desired training data with automatic generation. Training an object detection system can be challenging and time-consuming as machine learning requires substantial volumes of training data with associated metadata. Wood and Glass Coffee Table 3D model (143652 Tris)Īll preview images in this Pack were rendered using Unreal Engine 4.19.This paper presents a novel approach to training a real-world object detection system based on synthetic data utilizing state-of-the-art technologies.Woodland Forget-me-not Plant 3D model (81260 Tris).A bowl of Walnuts 3D model (135552 Tris).Light-Grey Fabric Armchair 3D model (125136 Tris).Light-Grey Fabric Sofa 3D model (159888 Tris).Apples on White Plate 3D model (14602 Tris).Grey Fabric Sofa with Pillows 3D model (708208 Tris).Red Office Chair 3D model (333018 Tris).Files are compatible with Unity 2017.4.1 and Unreal Engine 4.19. In this Unity and Unreal Engine Free 3D Models Pack, you will get 15 models with materials and textures for these both game engines. Are you working with Unity or Unreal Engine? If yes then we have just wanted to let you know, that we have just released free Unity 3D models and free Unreal Engine 3D models packs.Įach of two packs contains the same 15 3D models formatted for Unity and Unreal Engine.
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