In one of our blogs, we had gone through “What is EMNIST dataset and data summary?“. There are prebuilt python libraries available from Tensorflow, Pytorch, Extended MNIST, etc.
In this blog, I am going to show you:
- Import EMNIST dataset
- Import EMNIST training samples
- Print first and 10 letters from training samples.
You can find a full code in this blog, and also you can download it from the GitHub repository.
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Collecting emnistNote: you may need to restart the kernel to use updated packages. Downloading emnist-0.0-py3-none-any.whl (7.3 kB) Requirement already satisfied: tqdm in c:\anaconda3\lib\site-packages (from emnist) (4.50.2) Requirement already satisfied: requests in c:\anaconda3\lib\site-packages (from emnist) (2.24.0) Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from emnist) (1.19.2) Requirement already satisfied: idna<3,>=2.5 in c:\anaconda3\lib\site-packages (from requests->emnist) (2.10) Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in c:\anaconda3\lib\site-packages (from requests->emnist) (1.25.11) Requirement already satisfied: chardet<4,>=3.0.2 in c:\anaconda3\lib\site-packages (from requests->emnist) (3.0.4) Requirement already satisfied: certifi>=2017.4.17 in c:\anaconda3\lib\site-packages (from requests->emnist) (2020.6.20) Installing collected packages: emnist Successfully installed emnist-0.0
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(124800, 28, 28)
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