The Open Community for the Creation and Use of Synthetic Data in AI

A hub for synthetic datasets, papers, code, and people pioneering their use in machine learning.

Contributions from

Browse published synthetic datasets

A data generation tool to generate realistic aerial imagery data and benchmark datasetsRead more

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Synthetic outdoor driving dataset with smooth transitions between domains (day-night, sunny-raining etc.)Read more

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3D hand-object pose estimation datasetRead more

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Browse papers and/or code about data generation and training techniques

In this paper, we propose a new assumption, generalized label shift (GLS), to improve robustness against mismatched label distributions

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A survey of domain adaptation with ~80 references

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Unsupervised domain adaptation with gradient reversal

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