{
  "fetched_at": "2026-10-19T10:33:11Z",
  "source_url": "https://www.kaggle.com/competitions/ai-community-internal-competition/data",
  "pages": [
    {
      "name": "data-description",
      "content": "\n## Files\n**Data** - Folder that contains all the data\n**Info.csv** - File that contains the paths of the images in the folder with the class\n\n## Columns\n*   `path` - path to image relative to dataset \n*   `class` - value between 1-6 with the class of the resistor in the image",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "You will receive a dataset of 6 different resistors to classify, each type is under a folder named 1-6. Your task is to create a model to find out the proper resistance of each of these resistors. \n\nIt is also important to understand that this competition will be working with carbon film E24 resistors that have 4 unique bands of color and are brown, not 5 unique bands of color and blue. This is because E24 series resistors are the ones that are widely used in engineering labs. If you would like to understand how this came to and why resistors are made this way, check out these links: https://en.wikipedia.org/wiki/Resistor, https://en.wikipedia.org/wiki/E_series_of_preferred_numbers",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "You will be submitting a file with your model predictions for the test dataset along with the kaggle notebook in which you have the logic for your model, submission file should have the format\n\nID, Predicted_Class\nimagepath, 5\nimagepath1, 4\nimagepath2, 4\nimagepath3, 1\n\nID in this case is the path to the image file, more information on this later",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "Rules: \n1. Must be a student at Stony Brook University. \n2. Free to use any and all resources available to you!\n3. Collaboration encouraged between team members :)\n4. Should attend at least 2/3 workshops, Dates announced in AI Community discord. \n5. No banter, keep it civil",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "abstract",
      "content": "Welcome everyone! Congratulations to everyone who is participating in the AI Community internal competition for the 2024-2025 academic year!\n\nWe will have three workshops to help participants make the best model\n1. OpenCV: Intro to image processing and manipulation\n2. PyTorch: Intro to creating neural networks and deploying trained model\n3. Research Paper: Learn to read through research papers and implement possibly efficient solutions to your project!\n \n**Goal**:\nTeams will be competing to create a deployable real-time computer vision model to the Resist-a-Mix (Autonomous robot that sorts electronic resistors).   \n\n**Join-Discord**:\nIf you haven't already, join the discord through this link https://discord.gg/G7VGJ79t7x, all the information about the workshops will be there",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}