Huiying Lai
/
coffee_cola_alcohol_big
Public
Set window increase
For samples that are longer than the window length, a sliding window is used to classify the data multiple times.
This setting determines the increase of the sliding window in milliseconds, for each step.
This affects both live classification and model testing.
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For CSV and Parquet files, configure the CSV Wizard to define how your files should be processed before uploading files.
For CSV and Parquet files, configure the CSV Wizard to define how your files should be processed before uploading files.
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Labeling method
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Advanced settings
This dataset format uses bounding box labeling, used for object detection.
This dataset format uses one label per sample. You may wish to change your project
labeling method to 'one label per data item' in the project dashboard.
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