Uploading data through a web browser
You can upload data to Criterion AI through a web browser, either from your own computer or from one of the many cloud storage providers we integrate with. We support importing data from:
- Adobe CQ5
- Alfresco Cloud
- Amazon S3
- Amazon S3-compatible services
- Azure Storage
- Citrix ShareFile
- Google Drive
- Hubspot Files
- OneDrive for Business
- Salesforce Files
- SharePoint Online
Uploading data is easy and is done simply through our data import wizard. Either create a new dataset or choose an existing dataset to which you want to upload more data. In the example below, we are adding more data to the existing dataset Demo Dataset. Select the Options menu in the top right corner of the details section and choose Add more data. See the screenshot below.
You will be redirected to the wizard allowing you to select from where you want to upload your data. Open the File Explorer and choose the source of your data. See below.
In this example, we want to upload data from our local computer so we choose the My Computer source. We then proceed to clicking on the Add Files button, which opens a dialog where we can pick the files we want to upload. In the screenshot below, we have chosen 16 BMP images from our local directory C:\Temp\criterionai\train\present.
Click on the Open button and then on the Upload button. The files will start to transfer to Criterion AI. See the example below.
Once the files have been transferred, click on the Next button. In the following step, you will be ask whether you want to place your uploaded files in a containing folder in your dataset. Either choose a name for the folder you wish to place the files in or leave the field empty to place the files in the root of the dataset.
Finally, click on the Start data transfer button. A background job will be initiated to move your files from their temporary upload location to the right folder(s) within your dataset. This process can take a little while but, as it is running in the background, you do not have to be present on the site while the job is running. Check back after a couple of minutes to check on the status of the data transfer job.