Description
LabelGPT is an AI-driven automated image annotation tool that employs a generative model. It mainly focuses on generating labels for unprocessed images to streamline annotation workflows.
Users have the flexibility to import data from different sources, be it local or cloud platforms such as AWS, GCP, Azure, along with API integrations. The zero-shot label generation engine leverages a foundational model, allowing Machine Learning teams to produce substantial quantities of labeled data efficiently.
This tool simplifies annotation by using class or object names as text prompts to identify and segment labels. It also provides a quick review process.
Users can ensure label quality by filtering for high confidence scores, visually checking results, and seamlessly integrating these into their ML pipelines.
The annotations derived from LabelGPT can be leveraged to accelerate vision model training, lower annotation expenses, and expedite the labeling process.
Pricing Plans
Releases
Reviews
Pros & Cons
Pros
Automated image annotation
Utilization of multiple foundation models
Generates a high volume of labeled data
Cons
Limited types of labels
No offline access
No option for manual labeling
