fregu856/deeplabv3
PyTorch implementation of DeepLabV3 semantic segmentation model trained on the Cityscapes autonomous driving dataset.
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This repository provides a PyTorch implementation of DeepLabV3, a widely-used semantic segmentation architecture. The model is trained on the Cityscapes dataset, which focuses on street scene understanding for autonomous driving applications. The implementation includes training pipelines, evaluation scripts, and visualization tools for the segmentation model.
Frequently asked
- What is fregu856/deeplabv3?
- PyTorch implementation of DeepLabV3 semantic segmentation model trained on the Cityscapes autonomous driving dataset.
- Is deeplabv3 open source?
- Yes — fregu856/deeplabv3 is open source, released under the MIT license.
- What language is deeplabv3 written in?
- fregu856/deeplabv3 is primarily written in Python.
- How popular is deeplabv3?
- fregu856/deeplabv3 has 816 stars on GitHub.
- Where can I find deeplabv3?
- fregu856/deeplabv3 is on GitHub at https://github.com/fregu856/deeplabv3.