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Classification of Mahjong Tile Image with Features Extracted by Denoising Convolutional Autoencoder

HKUST COMP4901J Course Project

Ng Chi Him chngax@connect.ust.hk 20420921

Wong Hiu Nam hnwongab@connect.ust.hk 20425804

Project Report

Mahjong Tile Image Dataset

Results

Denoising CAE: 75.41% Accuracy

Classifier: 71.58% Top 1 Acc, 89.21% Top 3 Acc, 95.26% Top 5 Acc

Enviroment

conda install -c anaconda anaconda tensorflow-gpu

Dataset

The dataset of this project is hosted in another repo

Clone the dataset repo and prepare the dataset for training as follows:

From dataset repo Under project directory dataset/
tiles-resized/ tiles-resized/
tiles-data/ tiles-data/
untagged-tiles/ extra-tiles-untagged/

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Mahjong Tile Image Classification with Denoising CAE and CNN

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