# Test Competition — Data

来源：https://www.kaggle.com/competitions/denoising-shabby/data

采集时间：2026-10-19T09:02:13Z

You are provided three sets of images, train, test, and the ground-truth training data without noise in train_cleaned. These images are of documents synthetically noised with the [Augraphy](https://github.com/sparkfish/augraphy) library, which simulate real-world paper printing, faxing, scanning and copy machine processes. Your task is to create an algorithm to remove the noise from images in the test set.

**Note:** You **MUST** use make-submission.py to produce your submission file.

## Files

*   **train.csv** - the training set
*   **test.csv** - the test set
*   **sample_submission.csv** - a sample submission file in the correct format
*   **mapping.txt** - the mapping between test image file names and their position in the submission file [1]
*  **make-submission.py** - change the cleaned_images_dir path in this file and run it to generate your submission file

[1] the files were sorted in alphanumeric order.