Training on synthetic data produces robust deep learning models without data collection, labeling, and data cleaning. This technique is the fastest way to bootstrap and improve computer vision models.
In this tutorial, you'll learn how to load an existing model trained on synthetic data and train a new model on 10,000 synthetic images.
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In this video we load a pre-trained segmentation model and evaluate it on some test images. Follow along with our Colab Notebook!
In this video train a new segmentation model (Mask R-CNN) on a small set of training images.
Download the full training set of 10,000 images and try it yourself!