AdivarekarBhumit / Id Card Segmentation
Licence: mit
Segmentation of ID Cards using Semantic Segmentation
Stars: ✭ 65
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python
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ID-Card-Segmentation
Segmentation of ID Cards using U-Net
U-Net Architecture
Our Result's
Requirements
- Tensorflow-GPU 1.12
- Keras 2.1
- OpenCV 3.4.5
- Numpy 1.16
Dataset
- Download Dataset
python dataset/download_dataset.py
- Combine To single npy file (First Download the dataset)
python dataset/stack_npy.py
Train Model
- Start Training
python model/train.py
Training data in 100 epochs. This data was trained on google colab
Test Model
python test_model.py
Benchmarks
IoU Loss
Binary Accuracy
Val IoU Loss
Val Binary Loss
Citation
Please cite this paper, if using midv dataset, link for dataset provided in paper
@article{DBLP:journals/corr/abs-1807-05786,
author = {Vladimir V. Arlazarov and
Konstantin Bulatov and
Timofey S. Chernov and
Vladimir L. Arlazarov},
title = {{MIDV-500:} {A} Dataset for Identity Documents Analysis and Recognition
on Mobile Devices in Video Stream},
journal = {CoRR},
volume = {abs/1807.05786},
year = {2018},
url = {http://arxiv.org/abs/1807.05786},
archivePrefix = {arXiv},
eprint = {1807.05786},
timestamp = {Mon, 13 Aug 2018 16:46:35 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/abs-1807-05786},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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