Output data types

Super.AI provides an ever-growing selection of output data types. Below you can find a list of our currently available data types, along with a brief description and an example project type for each. If you don’t see the output type that you’re interested in, reach out to us as we can probably work something out.

A super.AI project type will take a certain input data type and produce a specific output data type. Some projects take more than one input data type and/or use more than one output data type.

Data typeDescriptionExample project type
TextText metadata is added to the input dataImage captioning
NumberNumerical metadata is added to the input data. This can be a float value, e.g., 2.3.Image similarity
IntegerNumerical metadata is added to the input data. This can only be a whole number, e.g., 3.Image counting
Bounding boxA 2D box is drawn over objects of interest in an image or video.Image bounding box
Binary choiceEither true or false. Only one option can be selected.Product feature verification
Exclusive choiceThe most appropriate option is selected from a list. Only one option can be selected—just like with a radio-button list.Image categorization
Multiple choiceThe most appropriate options are selected from a list. Multiple options can be selected—just like with a checkbox list.Image tagging
Text annotationMetadata is added to text content. For example, labeling nouns or company names.Named entity recognition
ObjectA combination of different labeling methods are used to produce a single label. For example, a collection of text transcription fields.URL transcription