sthalles/deeplab_v3
TensorFlow implementation of DeepLab_V3 for semantic image segmentation.
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Implementation of the DeepLab_V3 CNN architecture for semantic image segmentation as described in the original paper. The project includes training and evaluation code, pre-trained model checkpoints, and supports ResNet backbones. Built with TensorFlow 1.10.1 for computer vision tasks involving pixel-level image classification.
Frequently asked
- What is sthalles/deeplab_v3?
- TensorFlow implementation of DeepLab_V3 for semantic image segmentation.
- Is deeplab_v3 open source?
- Yes — sthalles/deeplab_v3 is open source, released under the MIT license.
- What language is deeplab_v3 written in?
- sthalles/deeplab_v3 is primarily written in Jupyter Notebook.
- How popular is deeplab_v3?
- sthalles/deeplab_v3 has 802 stars on GitHub.
- Where can I find deeplab_v3?
- sthalles/deeplab_v3 is on GitHub at https://github.com/sthalles/deeplab_v3.