{
  "fetched_at": "2026-10-19T09:35:31Z",
  "source_url": "https://www.kaggle.com/competitions/face-mask-detection-weightage-2/data",
  "pages": [
    {
      "name": "data-description",
      "content": "This 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.\n\nFace-Mask-Detection-Using-CNN\n\nOutbreak of the Coronavirus pandemic has created various changes in the lifestyle of everyone around the world.\nAmong these changes, wearing a mask has been very vital to every individual.\nDetection of people who are not wearing masks is a challenge due to the large populations.\nThis face mask detection project can be used in schools, hospitals, banks, airports etc as a digitalized scanning tool.\nThe technique of detecting people’s faces and segregating them into three classes namely the people with masks and people without masks and partial masks is done with the help of image processing and deep learning.\nWith the help of this project, a person who is monitoring the face mask status for ",
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    {
      "name": "Description",
      "content": "This is sample page.\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.\n\nFace-Mask-Detection-Using-CNN\n\nOutbreak of the Coronavirus pandemic has created various changes in the lifestyle of everyone around the world.\nAmong these changes, wearing a mask has been very vital to every individual.\nDetection of people who are not wearing masks is a challenge due to the large populations.\nThis face mask detection project can be used in schools, hospitals, banks, airports etc as a digitalized scanning tool.\nThe technique of detecting people’s faces and segregating them into three classes namely the people with masks and people without masks and partial masks is done with the help of image processing and deep learning.\nWith the help of this project, a person who is monitoring the face mask status for ",
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    },
    {
      "name": "Evaluation",
      "content": "This 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.\n\nFace-Mask-Detection-Using-CNN\n\nOutbreak of the Coronavirus pandemic has created various changes in the lifestyle of everyone around the world.\nAmong these changes, wearing a mask has been very vital to every individual.\nDetection of people who are not wearing masks is a challenge due to the large populations.\nThis face mask detection project can be used in schools, hospitals, banks, airports etc as a digitalized scanning tool.\nThe technique of detecting people’s faces and segregating them into three classes namely the people with masks and people without masks and partial masks is done with the help of image processing and deep learning.\nWith the help of this project, a person who is monitoring the face mask status for ",
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      "postTitle": "",
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      "mimeType": "",
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    },
    {
      "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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}