# TiagoCortinhal/SalsaNext

<https://repo.masters-masters.com/en/repos/TiagoCortinhal/SalsaNext>

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

TiagoCortinhal/SalsaNext has 472 stars on GitHub. Its RepoMasters card: Alpha tier. Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for…

| Field | Value |
| --- | --- |
| Owner | [TiagoCortinhal](https://repo.masters-masters.com/en/owners/TiagoCortinhal) |
| Stars | 472 |
| Forks | 113 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | semantic-segmentation, lidar, semantickitti, 3d-lidar-data, lidar-point-clouds, encoder, decoder, jaccard, bayesian-network |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [TiagoCortinhal/SalsaNext](https://github.com/TiagoCortinhal/SalsaNext) |

## Repository

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

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.