Optical-Character-Recognition

This project is a Classification model which classifies the images for Handwritten digits.

About Dataset

The dataset used for trang the model is MNIST Handwritten Digits Dataset.

Running the model -1

Inorder to evaluate the model on your own dataset:

• Make your dataset in the same format as of MNIST training dataset.
• Then run the ocr.sh file
• When it asks for path of dataset, enter the full path to it. Example:

$ ./ocr.sh
Enter path to the dataset:[YOUR FILE PATH]

Running the Model -2

If your dataset is a collection of images then:

• Run the ocr1.sh file
• When it asks for path of dataset, enter the full path to it. Example:

$ ./ocr.sh
Enter path to the dataset:[YOUR FILE PATH]

• It will make a file named output.txt with all the predicted labels.