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.

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74 Stars

27 Forks

74 Watchers

Python Language

100 SrcLog Score

Cost to Build

$19.23M

Market Value

$31.39M

How is this calculated?

Growth over time

3 data points · 2026-04-08 → 2026-04-23

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What is the venkanna37/Label-Pixels GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone Label-Pixels

Clone via HTTPS

git clone https://github.com/venkanna37/Label-Pixels.git

Clone via SSH

[email protected]:venkanna37/Label-Pixels.git

Download ZIP

Download master.zip

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