Freeform Text
Learn about freeform text datasets for custom annotation schemas and specialized vision AI applications in Datature Vi.
Freeform text is a dataset type in Datature Vi that lets you define custom annotation schemas tailored to your specific use case. Unlike phrase grounding or visual question answering, which have predefined structures, freeform text datasets give you full control over annotation format for specialized vision AI applications.
Datature Vi lets you train a custom VLM for freeform text tasks on your own images. Learn what Datature Vi does or follow the quickstart.
Understand how freeform text datasets let you define custom annotation schemas for specialized use cases not covered by phrase grounding or VQA.
What is freeform text?
Freeform text datasets let you create annotation formats that match your exact requirements. Rather than conforming to predefined structures like bounding boxes with labels or question-answer pairs, you define:
- Custom data structures: Design annotation formats specific to your domain
- Flexible schemas: Mix and match different annotation types
- Novel vision tasks: Experiment with new computer vision approaches
- Specialized workflows: Build annotation pipelines for unique use cases
Freeform text vs. other dataset types
Common use cases
Best practices
How freeform text works in Datature Vi
The freeform text workflow: create a freeform text dataset, upload images, annotate with your custom text schema, and train.
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Updated 3 months ago