LabelGPT
Automatically label images and videos for ML training with LabelGPT's AI annotation platform, saving time and effort.
Data AnnotationImage LabelingComputer VisionML Training DataAutomated AnnotationAI DevelopmentVideo Labeling
LabelGPT Introduction
LabelGPT is an automated data annotation platform that speeds up the creation of labeled datasets for computer vision. Manual labeling is time-consuming and expensive; LabelGPT uses AI to generate high-quality annotations with minimal human intervention. It is ideal for machine learning teams working on object detection, image segmentation, or video analysis who need to build training data faster. By combining automated labeling with a review interface, it ensures both speed and accuracy, accelerating the entire ML development cycle.
Key Features
- Auto-annotates objects, shapes, and regions in images
- Supports bounding boxes, polygons, and segmentation masks
- Includes AI-assisted review for quality control
- Offers collaboration tools for annotation teams
- Exports labeled data in multiple ML-ready formats
