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as presented at NeurIPS 2021 Download the benchmark to: See how synthetic datasets can efficiently detect a model’s weak spots Learn how synthetic data helps models to overcome limitations of real test sets in terms of quantity and/or diversity Explore how to determine bias in a large test set 

As presented at CVPR 2022 Find out how combining real and synthetic data can lead to safer driving in autonomous vehicles. Learn how using synthetic data, along with a very small amount of real examples, can boost performance relative to using the same amount of only-real data See a complete iteration of a data-centric approach...

By Roey Ron / Datagen Research Team In this benchmark report, we show how we use synthetic data, generated with the Datagen Platform, to: Train a model with synthetic data and achieve results that are comparable to training with real data only, while using a test set composed of real images. Combine synthetic data with...