Post Competition Round: Completed #educational #blitz Weight: 35.0

# SUDOKU

Solve Sudoku puzzles!

3148
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Join us for the closing webinar where top participants will discuss their solutions!

π  Contribute: Found a typo? Or any other change in the description that you would like to see? Please consider sending us a pull request in the public repo of the challenge here.

## π΅οΈ Introduction

How soon can you solve a Sudoku? Do you think you can teach your neural net to solve it? π What if it had to solve it the same way that you do? Through vision?

In this challenge, solve Sudokus with a twist! You wonβt just solve a Sudoku but learn important fundamentals of Computer Vision too!

This puzzle teaches a lot of things, and addresses SDG 4 - Education at all ages!

Start solving! Here is a getting started code for you.π

Understand with code! Here is `getting started code` for you.`π`

## πΎ Dataset

The dataset consists of 10001 images. 5000 images in the training set and 5001 in the test set.

Each image consists of an unsolved sudoku puzzle. Each puzzle is of a `different color`, is `rotated` by an `angle`, has varying `line widths`, and the digits all look different. Each image has the dimension `(300, 300)` but due to the rotation, the puzzle sizes may vary.

The file `labels.csv` contains columns `id` and `solution`. The field `id` corresponds to the name of the file inside the `images` directory whereas the field `solution` is a string, 81 characters long which is the fully solved puzzle in `row major` form.

For example, this row `0385,971683245562479831483152679854267193219538764637914582148795326396821457725346918` says that the puzzle in `images/0385.png` has the solution `971683245562479831483152679854267193219538764637914582148795326396821457725346918`.

## π Files

The following files can be found in the `resources` section:

• `train.tar.gz` : (`5000`) This file contains a folder `data` with all the images of the sudoku puzzles and a `label.csv` with labels i.e. solutions ( in string format ) for the corresponding puzzle.

• `test.tar.gz` : (`5001`) This file contains a folder `data` containing all the images of the sudoku puzzle whose solutions needs to be found.

• `sample_submission.csv` : Sample submission format for the challenge.

## π Submission

• Prepare a CSV containing headers `[id, solution]`. This file should contain solutions for all the puzzles given in the test dataset. The description for `id` and `solution` can be found above.
• Name of the above file should be submission.csv.
• Sample submission format can be found in resources section.

Make your first submission here!! π

## π Evaluation Criteria

During evaluation accuracy will be used to test the efficiency of the model. A solution for a puzzle will be considered correct only if all 81 values match, i.e., there is no partial marking.