Create synthetic or fake labelled training data for deep learning using unity 3D under 3 minutes.

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Create synthetic or fake labelled training data for deep learning using unity 3D under 3 minutes.

In under three minutes, create synthetic or fictitious training data for computer vision using Unity 3D. Large training datasets with annotated ground truth are required for deep learning, which has made rapid progress for many computer vision problems. The advancement of computer graphics has made it possible to render synthetic scenes in a realistic manner. These synthetic data can provide quick acquisition and labeling solutions, giving deep learning computer vision approaches a new source of fuel. Real-world training datasets are frequently of poor quality, insufficient in quantity, poorly tagged, and do not adequately represent rare conditions. Several synthetic data-trained systems have reportedly outperformed their real-world data-trained counterparts. Using a framework like Tensorflow, these data can be used to train object detection machine learning models.

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do you need to have a specific unity version? or any version will do?

ningguangleaks

Hi, could you please upload the files again? I think the links are already expired.

LittleBoyzzzzzz

Create synthetic or fake labelled training data for deep learning using unity 3D under 3 minutes.

Create synthetic or fake labelled training data for deep learning using unity 3D under 3 minutes.

Create synthetic or fake labelled training data for deep learning using unity 3D

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