Document Scanning is a background segmentation problem that can be solved using various methods. It is an extensively used application of computer vision. Here we consider Document Scanning as a semantic segmentation problem.
We use DeepLabv3 semantic segmentation architecture to train a Document Segmentation model on a custom dataset.
We also talk about the following topics:
✅Creating synthetic data to augment the dataset.
✅Creating custom dataset classes in PyTorch.
✅Fine-tuning DepLabv3 with custom loss functions.
✅Deploy the application using Streamlit.
📚 Blog post link: learnopencv.com/deep-learning...
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29 авг 2022
