venkanna37 / Label-Pixels

Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery.

Date Created 2020-05-16 (4 years ago)

Commits 80 (last one 2 years ago)

Stargazers 72 (0 this week)

Watchers 4 (0 this week)

Forks 26

License unknown

Ranking

RepositoryStats indexes 629,376 repositories, of these venkanna37/Label-Pixels is ranked #382,727 (39th percentile) for total stargazers, and #364,881 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #73,627/128,345.

venkanna37/Label-Pixels is also tagged with popular topics, for these it's ranked: deep-learning (#6,112/8791), machine-learning (#5,812/8374), tensorflow (#1,718/2300), artificial-intelligence (#1,536/2263), keras (#582/809), segmentation (#453/674), semantic-segmentation (#365/543), remote-sensing (#210/360), satellite-imagery (#102/153)

Other Information

venkanna37/Label-Pixels has Github issues enabled, there are 3 open issues and 6 closed issues.

All Topics

gdal unet keras segnet resunet tensorflow msc-project label-pixels segmentation deep-learning pixel-labeling remote-sensing road-extraction machine-learning satellite-imagery semantic-segmentation artificial-intelligence fully-convolutional-networks satellite-image-segmentation

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14 commits on the default branch (master) since jan '22

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The only known language in this repository is Python

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updated: 2025-03-03 @ 04:42am, id: 264369991 / R_kgDOD8H3Rw