Label-Pixels

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

keras

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76 Stars

26 Forks

3 Watchers

Python Language

100 SrcLog Score

Cost to Build

$19.67M

Market Value

$29.89M

How is this calculated?

Growth over time

7 data points · 2026-04-08 → 2026-09-24

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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 segmenting road network and now, it can be used to segment 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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