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.

keras image-processing

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41 Forks

82 Watchers

Jupyter Notebook Language

Cost to Build

$1.81M

Market Value

$3.85M

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Growth over time

8 data points · 2021-08-01 → 2025-04-01

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What is the advaitsave/Multiclass-Semantic-Segmentation-CamVid GitHub project? Description: "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. ". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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