# UjjwalSaxena/Automold--Road-Augmentation-Library

<https://repo.masters-masters.com/en/repos/UjjwalSaxena/Automold--Road-Augmentation-Library>

[Home](https://repo.masters-masters.com/en) › [UjjwalSaxena](https://repo.masters-masters.com/en/owners/UjjwalSaxena) › [Automold--Road-Augmentation-Library](https://repo.masters-masters.com/en/repos/UjjwalSaxena/Automold--Road-Augmentation-Library)

UjjwalSaxena/Automold--Road-Augmentation-Library has 645 stars on GitHub. Its RepoMasters card: Alpha tier. This library augments road images to introduce…

| Field | Value |
| --- | --- |
| Owner | [UjjwalSaxena](https://repo.masters-masters.com/en/owners/UjjwalSaxena) |
| Stars | 645 |
| Forks | 110 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2018 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [UjjwalSaxena/Automold--Road-Augmentation-Library](https://github.com/UjjwalSaxena/Automold--Road-Augmentation-Library) |

## Repository

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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