LabelGPT: Auto Label Million Images In Minutes

🚀 Dive into the future of image annotation with LabelGPT! 🎨🤖 Auto label millions of images in minutes using advanced generative AI technology. Save time, ensure accuracy, and streamline your data labeling process effortlessly. Join the AI revolution now! 🌟🔍 #AI #ImageAnnotation #LabelGPT

LabelGPT is recognized as a G2 2023 Winter High Performer and deemed "Easiest To Use" in Data Labeling Software Product Technology Solutions.
LabelGPT Auto Labeling Tool quickly converts raw images into labeled data through a zero-shot label generation engine using foundation model-based automated data labeling.
Auto labeling is when AI predicts labels independently, reducing or eliminating the need for human intervention in the labeling process.
LabelGPT's process goes beyond traditional auto labeling by combining multiple foundation models to achieve zero-shot labeling.
LabelGPT simplifies the labeling process into 3 steps: importing data, providing text prompts for labeling, selecting labeling type, and reviewing labeled images with confidence scores.
Features of LabelGPT include access to multiple open-source datasets, input prompts for class names, and the ability to upload custom images for zero-shot annotation.
Benefits of using LabelGPT include no manual labeling, fast generation of 1000s of labels, easy validation of labels through confidence scores, and quick integration with ML pipelines.
LabelGPT enables users to build Vision, NLP, and Large Language Models (LLMs) faster and at a reduced cost through its platform and annotation services.
Tensor Matics, Inc., the company behind LabelGPT, offers interactive demos, smart feedback loops, and various annotation platforms tailored for different industries like Automotive, Healthcare, Retail, and more.