# stratospark/UnityImageSynthesisTutorial1

<https://repo.masters-masters.com/en/repos/stratospark/UnityImageSynthesisTutorial1>

[Home](https://repo.masters-masters.com/en) › [stratospark](https://repo.masters-masters.com/en/owners/stratospark) › [UnityImageSynthesisTutorial1](https://repo.masters-masters.com/en/repos/stratospark/UnityImageSynthesisTutorial1)

stratospark/UnityImageSynthesisTutorial1 has 101 stars on GitHub. Its RepoMasters card: Prototype tier. Use Unity to generate synthetic images for deep…

| Field | Value |
| --- | --- |
| Owner | [stratospark](https://repo.masters-masters.com/en/owners/stratospark) |
| Stars | 101 |
| Forks | 22 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Topics | deep-learning, unity, fastai, pytorch, image-segmentation, domain-randomization, simulated-data |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [stratospark/UnityImageSynthesisTutorial1](https://github.com/stratospark/UnityImageSynthesisTutorial1) |

## Repository

Use Unity to generate synthetic images for deep learning image segmentation in PyTorch and fastai

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.