Multiclass-Semantic-Segmentation-CamVid

Multiclass-Semantic-Segmentation-CamVid

advaitsave

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.

82 Stars
41 Forks
2 Watchers
Jupyter Notebook Language
100 SrcLog Score
Cost to Build
$1.86M
Market Value
$2.93M

Growth over time

11 data points  ·  2021-08-01 → 2026-08-01
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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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