LabelGPT
LabelGPT applies foundation models to prompt-based image annotation. Users supply images, name classes and choose bounding boxes or segmentation, then review confidence scores and export labels. A product-specific trial is advertised, but g
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What to know before choosing
Official-site material has been collected and reviewed in the product profile below. Pricing and platform details remain unverified unless a specific sourced statement is shown.
Evidence
Official-site collection and source-backed editorial review. Last source review is not a date of product testing.
Product details from official sources
LabelGPT applies foundation models to prompt-based image annotation. Users supply images, name classes and choose bounding boxes or segmentation, then review confidence scores and export labels. A product-specific trial is advertised, but generic Labellerr plan prices cannot safely be assigned to this product.
Capabilities and conditions
- Text prompts specify the classes or objects to label. Source ↗
- Annotation can produce bounding boxes or segmentation. Source ↗
- Images can be supplied locally or from AWS, GCP, Azure and an API. Source ↗
- Users can filter labels by confidence and review them visually. Source ↗
- The LabelGPT page advertises a free trial. Source ↗
Price and free allowance
See the sourced plan statements above; confirm currency, billing period and checkout eligibility on the vendor site.
Published-source profile · collected 2026-10-17. Automated collection followed by editorial review. These are vendor-published claims, not hands-on product test results.
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