{
  "fetched_at": "2026-10-19T18:59:41Z",
  "source_url": "https://www.kaggle.com/competitions/crop-classification/data",
  "pages": [
    {
      "name": "data-description",
      "content": "Data include satellite, soil and ground truth on crops:\n\n- Time series of multispectral images in period December 2020 - September 2021\n- Soil properties extracted from global database SoilGrids Global Gridded Soil Information\n- Corresponding labels of crops in each pixel and parcel\n\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "Advances in satellite technology allow us to monitor the growth and development of plants in high spatial and temporal resolution. It is these new technologies that create opportunities for the revolutionization of agriculture. However, to fully use the value of such data, we need novel analytical methods.\n\nCrop classification data, which are available for this project, include satellite data from the European Space Agency, SoilGrids land data and field data gathered by the BioSense Institute.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "The evaluation metric for this competition is **Macro F1-Score**\n\nSubmission Format\nUse empty solution file from Data page and enter predicted labels. Choose file name that will help you to follow progress and related to model/experiment you used to generate solution.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "Default solution for ranking is the one that produced the best score on Public Leaderboard, final ranks will be used from Private Leaderboard and visible after presentation of the results. If you want to be scored based on other model you can denote it at Kaggle submission page.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}