Import Data & Annotations
You can easily import large amounts of data from the command line interface. Before following this guide, make sure to set up credentials for the CLI.
Importing locally stored images
Upload using an items file
To upload images that are stored in a non-conventional folder structure, you can define the structure using an items JSON file and upload it like this.
If you don't want to use an items file for upload, ensure your data is stored within the correct folder structure defined in our documentation. You can only upload a single data type in one upload operation. See the supported file types here.
You can see all available types in the CLI upload reference documentation.
Group images by study
To group your images by study, see here for examples, input the following:
Upload video frames
To upload a video by uploading individual frames, input the following:
Importing externally stored images
To import data that is stored externally (e.g., in an AWS s3 bucket), you must specify the storage ID. You can find your storage solution's unique Storage ID in the Storage tab of the RedBrick AI platform.
Prepare an Items List containing references to your externally stored files.
Import annotations
To import annotations with your data, you must first create an items JSON file following the import annotations guide.
Import locally stored annotations & images
Import locally stored annotations with externally stored images
The following command will upload your (locally stored) annotation files and your image files (stored in STORAGEID):
Import externally stored annotations & images
If your annotation files are also stored externally, you can run the following command:
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