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What is Label Studio?
Open Source Data Labeling | Label Studio 1.11.0
Label Studio is a versatile data labeling platform designed to fine-tune machine learning models, prepare training data, and validate AI models. With features like ML model pre-labeling and customizable tagging, users can efficiently label various data types including images, audio, text, time series, and video. The tool supports tasks such as image classification, object detection, audio transcription, sentiment analysis, and optical character recognition, making it suitable for a wide range of applications in NLP, computer vision, and IoT devices. Beyond its labeling capabilities, Label Studio offers configurable layouts, integration with ML/AI pipelines, and cloud storage connectivity, enabling users to streamline their data labeling workflow and enhance model accuracy. Trusted by a global community of data scientists, Label Studio is a powerful tool for accurate and efficient data annotation.
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