LabelGPT is a generative AI tool built for ML and data science teams that need to label images quickly. It helps convert raw datasets into structured annotations in minutes instead of weeks, reducing one of the slowest and most expensive steps in an ML pipeline.
Prompt-based auto-labeling
LabelGPT uses multiple foundation models with a zero-shot approach. You provide a prompt describing the classes or objects you need, and the system generates annotations automatically.
- Zero-shot labeling from a text prompt
- Faster iteration for experiments and hypothesis testing
- Scales labeling without relying on fully manual workflows
One platform for images, text, and video
As part of the Labellerr ecosystem, LabelGPT supports image annotation as well as text and video labeling in a single platform.
- Prebuilt datasets and pre-labeling features
- Smart feedback loop to improve label quality as models learn
For advanced ML teams
LabelGPT fits teams working on computer vision, LLM, and multimodal projects that want to speed up training data preparation.
- Interactive demos and product tours
- Annotation services to support adoption in existing ML stacks
