# prs-eth/PanopticSegForLargeScalePointCloud

<https://repo.masters-masters.com/en/repos/prs-eth/PanopticSegForLargeScalePointCloud>

[Home](https://repo.masters-masters.com/en) › [prs-eth](https://repo.masters-masters.com/en/owners/prs-eth) › [PanopticSegForLargeScalePointCloud](https://repo.masters-masters.com/en/repos/prs-eth/PanopticSegForLargeScalePointCloud)

prs-eth/PanopticSegForLargeScalePointCloud has 112 stars on GitHub. Its RepoMasters card: Prototype tier. Code and dataset of paper "TOWARDS ACCURATE INSTANCE…

| Field | Value |
| --- | --- |
| Owner | [prs-eth](https://repo.masters-masters.com/en/owners/prs-eth) |
| Stars | 112 |
| Forks | 18 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [prs-eth/PanopticSegForLargeScalePointCloud](https://github.com/prs-eth/PanopticSegForLargeScalePointCloud) |

## Repository

Code and dataset of paper "TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS"

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

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