We decided to create a tool for generation of artificial marked images (in the form of bitmasks and bounding boxes), and the final result would be used to enrich the dataset for training deep convolutional architectures.
![](https://static.tildacdn.com/tild3566-3631-4437-b931-356632613763/__2021-08-16__165742.png)
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- Article. Synthetic data generator. Neural network training for industrial defectoscopy