{
  "fetched_at": "2026-10-19T07:36:16Z",
  "source_url": "https://www.kaggle.com/competitions/computervisionpracticum/data",
  "pages": [
    {
      "name": "data-description",
      "content": "The dataset is organized into 2 folders (train, testl) and contains subfolders for each image category (Pneumonia/Normal) in train. There are 5841 X-Ray images (JPEG) and 2 categories (Pneumonia/Normal).\n\n\nChest X-ray images (anterior-posterior) were selected from retrospective cohorts of pediatric patients of one to five years old from Guangzhou Women and Children’s Medical Center, Guangzhou. All chest X-ray imaging was performed as part of patients’ routine clinical care.\n\n\nFor the analysis of chest x-ray images, all chest radio graphs were initially screened for quality control by removing all low quality or unreadable scans. The diagnoses for the images were then graded by two expert physicians before being cleared for training the AI system. In order to account for any grading errors, the evaluation set was also checked by a third expert.",
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    },
    {
      "name": "Description",
      "content": "Welcome to the In-class CV competition! This is an in-house competition curated to give you a hands-on experience of Computer Vision techniques and models. Through the current competition, we would like you to apply the methods and techniques taught in class on the data-set provided. Through the course, we give you the opportunity to challenge and test the skills you pick up.\n\nPlease note that this is a limited-participation competition. Only invited users may participate.\n\nHave fun!\n\nif you attended the CV Practicum course and you are facing any problem in this competition,\nPlease contact:\nAbhijeet Biswas (abhibiswas@deloitte.com)\nAnkur Shukla ( ankushukla@deloitte.com)",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Evaluation",
      "content": "Accuracy will be used as the evaluation criteria\n\n $$ Accuracy =  \\frac{TP+TN}{(TP+TN+FN+FP)} $$\n\nPlease submit the files in the same format as mentioned in \"submission.csv\"\nFor example,\nSubmission file:\nImages, Label\n0.jpeg, NORMAL\n1.jpeg, PNEUMONIA\n....\n....",
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      "hasIsPublished": false,
      "postTitle": "",
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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!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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  ]
}