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Build workflows with Prodigy, the modern annotation tool for machine learning.
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overview
Prodigy is an advanced, self-hosted annotation tool designed for machine learning enthusiasts. Focused on efficient data labeling for various tasks, it supports interactive interfaces for NLP, computer vision, audio, and video.
features
Discover the robust features that set Prodigy apart in the annotation landscape. From improved support for aging models to seamless integrations with popular ML frameworks, Prodigy empowers teams to annotate with confidence.
use_cases
Prodigy caters to a wide array of users focused on creating secure and efficient annotation workflows. Whether you're a data scientist or part of a team developing custom AI systems, Prodigy can help streamline your processes.
Prodigy runs entirely offline, meaning no data leaves your servers, providing complete privacy and security for your annotations.
Prodigy supports a variety of tasks including named entity recognition, text classification, object detection, transcription, and many more.
Yes! Prodigy is designed for seamless integration with popular frameworks such as spaCy, Hugging Face, PyTorch, and TensorFlow.