LabelGPT is a web-based AI-powered image annotation tool designed to streamline the labeling process for machine learning projects. It utilizes a generative AI model to automatically generate labels for raw images, significantly reducing the time required for data preparation. Users can import data from various sources, including local storage and cloud platforms such as AWS, GCP, and Azure, or through APIs, making it versatile for different workflows.

The tool features a zero-shot label generation engine that enables users to input class or object names as text prompts, allowing for effective detection and segmentation of labels. Additionally, LabelGPT offers a review process that allows users to filter labels based on confidence scores, visually verify results, and seamlessly integrate annotations into their machine learning pipelines, ultimately enhancing the efficiency of vision model training and decreasing annotation costs.