01
Define your labels
Structure the classes, attributes, and instructions around your project’s requirements.
DEXTER STUDIO / DATA ANNOTATION
Raw data. Rich understanding.
Create project-specific annotation workflows for multimodal data. Give annotators a clear schema and bring human judgment into your dataset.
ANNOTATION TASK
Every speaker. Every word.
TRANSCRIPT SEGMENTS
00:00–00:03
Speaker 01
“The train leaves at half past eight.”
00:03–00:06
Speaker 02
“I’ll meet you at the station.”
LABEL SCHEMA
Speech annotation
- Speaker identity
- Segment boundaries
- Transcript
STRUCTURED OUTPUT
Schema-defined labelsSpeaker-linked transcript segments
02
Annotate in context
Work with the source material and capture the labels your model or evaluation needs.
03
Review the work
Inspect annotations and contributor output to support consistent dataset quality.
STRUCTURE THAT FITS YOUR DATA
Make every label mean something.
A useful annotation starts with a shared definition. Shape the schema around the source material and the decisions your model needs to learn.
Audio and language
Define transcript, speaker, or language labels that preserve the context of the recording. Provide guidance for ambiguous cases.
Video and events
Describe activities with clear event definitions and time intervals. Keep the start and end of an event tied to the source.
Images and regions
Define categories, regions, and attributes around the visual distinctions that matter to the project.
Text and meaning
Structure intent, entity, and classification labels with clear inclusion rules and consistent definitions.
LET’S BUILD WHAT COMES NEXT
Your next dataset.
Your next breakthrough.
Tell us what you’re building.
We’ll help you find the right starting point.