GeorgeSeif/Semantic-Segmentation-Suite
A TensorFlow framework for training and evaluating semantic segmentation models on custom datasets.
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This repository provides a Semantic Segmentation Suite built in TensorFlow for implementing, training, and testing semantic segmentation models. It includes multiple encoder-decoder architectures (SegNet, Mobile UNet, RefineNet) with various backbone networks (MobileNetV2, ResNet, InceptionV4). The suite supports data augmentation, training and testing modes, and evaluation metrics including precision, recall, F1 score, per-class accuracy, and mean IoU.
Frequently asked
- What is GeorgeSeif/Semantic-Segmentation-Suite?
- A TensorFlow framework for training and evaluating semantic segmentation models on custom datasets.
- Is Semantic-Segmentation-Suite open source?
- Yes — GeorgeSeif/Semantic-Segmentation-Suite is an open-source project tracked on heatdrop.
- What language is Semantic-Segmentation-Suite written in?
- GeorgeSeif/Semantic-Segmentation-Suite is primarily written in Python.
- How popular is Semantic-Segmentation-Suite?
- GeorgeSeif/Semantic-Segmentation-Suite has 2.5k stars on GitHub.
- Where can I find Semantic-Segmentation-Suite?
- GeorgeSeif/Semantic-Segmentation-Suite is on GitHub at https://github.com/GeorgeSeif/Semantic-Segmentation-Suite.