A startup is building a machine learning solution that identifies plant diseases from photos captured on farmers' smartphones. The training dataset is made up of the pixel values from these photos. Which data type category best describes this dataset?
Tabular data
Time-series data
Image data
Text data
Images are unstructured arrays of pixel values used in computer vision tasks, so the dataset in the scenario is image data. Tabular data is organized in rows and columns, time-series data records values over consistent time intervals, and text data contains natural language characters or tokens. Because the examples here are photographs rather than numeric tables, sequential sensor readings, or sentences, only the image category fits.
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