⬆️Upload & Manage Image Data

Upload from My Computer

Users may upload zipped dataset from the user's device. The total upload time depends on the connection speed and the size of the dataset.

Select "My Computer" to upload zipped datasets stored on your device
Select "My Computer" to upload zipped datasets stored on your device
The next step requires user to select one of the three supporting data formats
The next step requires user to select one of the three supporting data formats
Select a ziiped dataset from your device
Select a zipped dataset from your device
Once successfully uploaded, the user can view and process the dataset under "DeepCap-->Dataset" or "AI Training-->Dataset"
Once successfully uploaded, the user can view and process the dataset under "DeepCap-->Dataset" or "AI Training-->Dataset"

Import from Dataset Gallery

Other than uploading datasets from a local computer, users may select datasets that have been uploaded to the DeepQ AI platform's dataset gallery. Please contact the system admin or DeepQ personnel to learn more about these datasets.

Dataset Gallery

Other than uploading datasets from a local computer, users may select datasets that have been uploaded to the DeepQ AI platform's dataset gallery. Please contact the system admin or DeepQ personnel to learn more about these datasets.

Select "Dataset Gallery" to upload datasets that were stored on the system.
Select "Dataset Gallery" to upload datasets that were stored on the system.
The gallery contains datasets of different images/annotations prepared by DeepQ.
The gallery contains datasets of different images/annotations prepared by DeepQ.

  • Each card contains information about the dataset, including file size/format, annotation type included and source link

  • Once successfully imported, the user can view and process the dataset under "DeepCap-->Dataset" or "AI Training-->Dataset"

Manage Datasets

Upload issues: Alert Message

The alert message of “preparation failed” is presented if the dataset format you uploaded is not compatible. Click on the dataset and view the error message. You can either save the successful cases and continue, or you can delete the entire dataset and upload a new one.

Delete a Dataset

Rules of deleting a dataset:

  • The dataset you want to delete should not be related to any existing annotation project or training task. If it is related, then you need to delete that project/ task first before deleting the dataset.

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