Autogenerated datasets consist of randomly generated noise in images for testing purposes and do not include annotations. Below is an example of a noise image:
NOTE: Generated datasets are only in the ImageNet format and suitable only for generic or classification type models.
NOTE: Because autogenerated datasets are made of noise images and do not contain annotations, they cannot be used for accuracy measurement and calibration.
On the One-Page Wizard screen, find the table with datasets:
To generate a new dataset, click the Autogenerate Dataset in ImageNet format button. Fill out the Autogenerate Dataset form that appears on a new page:
|Number of Images to Generate||[1; 2000]||A number of |
|Image Dimensions||[1; 1920]||Image height and width in pixels|
After you have entered all the required parameters, click the Generate button to generate a dataset. You are automatically directed back to the datasets table, where the Status column shows the progress bar and status of the generation.
To cancel the generation process, press a red stop sign in the Action column.
Once the generation completes, the dataset indicates a green tick sign.
To remove an imported dataset from the list, click the bin icon in the Action column.