{
  "fetched_at": "2026-10-19T09:35:42Z",
  "source_url": "https://www.kaggle.com/competitions/face-mask-detection-internal/data",
  "pages": [
    {
      "name": "data-description",
      "content": "The data for this mini-project is collected from various sources including the masked images from internet and general frontal face images considered as without mask. This dataset consists of 5029 train images and 1059 test images with 3 classes with_mask, without_mask and partial_mask\n\nMany people are not correctly wearing their masks due to bad practices, bad behaviors or vulnerability of individuals (e.g., children, old people). For these reasons, several mask wearing campaigns intend to sensitize people about this problem and good practices. In this sense, this work proposes three types of masked face detection dataset; namely, the Correctly Masked Face, the Incorrectly Masked Face and their combination for the global masked face detection. This dataset serves the objective of classifying faces that are:\n\nWithout Mask/ With Mask/ Partial Mask\nNote that this dataset contains some annotated (artificially generated) masks to augment the 'masked' data category.",
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    },
    {
      "name": "Description",
      "content": "Something Descriptive\n\nThis project uses a Deep Neural Network, more specifically a Convolutional Neural Network, to differentiate between images of people, with masks, without masks and incorrectly placed masks. Manually built and pretrained networks will be used to perform this classification task.",
      "isPublished": false,
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    {
      "name": "Evaluation",
      "content": "This is evaluation page.\n\nThe data for this mini-project is collected from various sources including the masked images from internet and general frontal face images considered as without mask. This dataset consists of 5029 train images and 1059 test images with 3 classes with_mask, without_mask and partial_mask",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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      "hasIsPublished": false,
      "postTitle": "",
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}