luyanger1799/Amazing-Semantic-Segmentation
A TensorFlow/Keras library providing implementations of 10+ deep learning models for semantic image segmentation.
Not currently ranked — collecting fresh signals.
star history
This repository offers a comprehensive collection of semantic segmentation models including FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, and BiSegNet. The implementations run on TensorFlow 1.x/2.x and Keras, supporting both Python 3.x and OpenCV 3.x/4.x. Users can train and evaluate these models on custom datasets for pixel-level image classification tasks.
Frequently asked
- What is luyanger1799/Amazing-Semantic-Segmentation?
- A TensorFlow/Keras library providing implementations of 10+ deep learning models for semantic image segmentation.
- Is Amazing-Semantic-Segmentation open source?
- Yes — luyanger1799/Amazing-Semantic-Segmentation is open source, released under the Apache-2.0 license.
- What language is Amazing-Semantic-Segmentation written in?
- luyanger1799/Amazing-Semantic-Segmentation is primarily written in Python.
- How popular is Amazing-Semantic-Segmentation?
- luyanger1799/Amazing-Semantic-Segmentation has 481 stars on GitHub.
- Where can I find Amazing-Semantic-Segmentation?
- luyanger1799/Amazing-Semantic-Segmentation is on GitHub at https://github.com/luyanger1799/Amazing-Semantic-Segmentation.