LabelGPT

LabelGPT is an automated image annotation tool powered by a generative AI model. It's primary function is to generate labels on raw images, thereby aiding the annotation process.

LabelGPT generates labels on raw images by taking class or object names as a text prompt. It then uses its generative AI model to detect and segment the label on the related image.

Data can be imported into LabelGPT from various sources including local platforms or cloud sources like AWS, GCP, Azure, and also through APIs.

LabelGPT supports a wide array of data import sources, including local platforms (like an on-premises server or personal device), and various cloud platforms such as AWS, GCP, Azure. It also supports data importation through APIs.

The zero-shot label generation engine in LabelGPT is responsible for creating automatic labels on images. Its purpose is to maximize efficiency and speed up the label generation process, reducing the need for manual labels and allowing Machine Learning teams to generate large volumes of labeled data.