csiro-robotics / WildScenes

[IJRR2024] The official repository for the WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Natural Environments

Date Created 2023-12-20 (about a year ago)

Commits 51 (last one 2 months ago)

Stargazers 38 (0 this week)

Watchers 9 (0 this week)

Forks 3

License other

Ranking

RepositoryStats indexes 595,856 repositories, of these csiro-robotics/WildScenes is ranked #530,949 (11th percentile) for total stargazers, and #225,801 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #104,006/119,431.

csiro-robotics/WildScenes is also tagged with popular topics, for these it's ranked: deep-learning (#7,888/8512), 3d (#1,121/1210), benchmark (#702/777), semantic-segmentation (#468/521), 2d (#287/309), lidar (#272/301)

Other Information

csiro-robotics/WildScenes has Github issues enabled, there are 2 open issues and 6 closed issues.

Homepage URL: https://csiro-robotics.github.io/WildScenes/

All Topics

2d 3d lidar benchmark pointcloud deep-learning mmsegmentation domain-adaptation natural-environments semantic-segmentation

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51 commits on the default branch (main) since jan '22

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updated: 2024-12-13 @ 04:30pm, id: 733707867 / R_kgDOK7t-Ww