advaitsave / Multiclass-Semantic-Segmentation-CamVid

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Date Created 2019-03-30 (5 years ago)

Commits 10 (last one 5 years ago)

Stargazers 83 (0 this week)

Watchers 4 (0 this week)

Forks 41

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RepositoryStats indexes 595,856 repositories, of these advaitsave/Multiclass-Semantic-Segmentation-CamVid is ranked #333,800 (44th percentile) for total stargazers, and #377,401 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #8,312/17,543.

advaitsave/Multiclass-Semantic-Segmentation-CamVid is also tagged with popular topics, for these it's ranked: python (#14,272/22324), tensorflow (#1,606/2255), image-processing (#712/1119), keras (#534/794), segmentation (#399/640), semantic-segmentation (#319/521), image-segmentation (#121/207)

Other Information

advaitsave/Multiclass-Semantic-Segmentation-CamVid has 2 open pull requests on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 11 open issues and 2 closed issues.

All Topics

fcn unet keras camvid python segnet tensorflow segmentation tensorflow-2 camvid-dataset image-processing image-segmentation semantic-segmentation unet-image-segmentation

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updated: 2024-12-21 @ 10:11am, id: 178553755 / R_kgDOCqSDmw