{
  "fetched_at": "2026-10-19T16:10:57Z",
  "source_url": "https://www.kaggle.com/competitions/ece-4110-5100-project-1-2022/data",
  "pages": [
    {
      "name": "data-description",
      "content": "You can download the corrupted data set here or on Canvas. It is .npy file with shape (5421,28,28).",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "Your task is to write a program (in any language you like, preferably Python) to eliminate the noise added to this dataset. Once you have the cleaned data, upload to the following Kaggle contest to obtain the MSE between your answer and the uncorrupted training images (half of the total dataset). You may submit to Kaggle a limited number of times. This is an open-ended problem with no “right” answer. Your solution will be scored entirely by the mean square error between the file that you submit and the uncorrupted test images (the remaining half of the dataset).",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "The evaluation will be the MSE between your cleansed data and the uncorrupted training/test data (each being half of the total dataset). Specifically, the uncorrupted data is of shape (5421,28,28), and the MSE is calculated as the averaged sum of square of entry-wise differences between uncorrupted training/test data and your solution.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": " - Don't cheat!\n - Apply yourself!\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}