LabelGPT

LabelGPT is an AI-powered image annotation tool by Labellerr that helps machine learning teams label large image datasets quickly and efficiently. It uses foundation models to identify and annotate objects without requiring users to train a model for every new category. Instead of manually labeling images one by one, users can upload their images, enter text prompts describing the objects they want to identify, and let the system generate labels automatically.

LabelGPT supports bounding box annotation and image segmentation, making it useful for preparing datasets for computer vision applications. Users can connect images from local storage or cloud platforms such as AWS, Google Cloud, and Azure. The platform also provides confidence scores to help users review and validate generated annotations before exporting them to machine learning pipelines.

LabelGPT is particularly useful for AI developers, data scientists, and computer vision teams working with large datasets. By reducing repetitive manual work, it can help accelerate data preparation, streamline annotation workflows, and make AI model development more efficient.