Label Studio is a multi-type data labeling and annotation tool with standardized output format
Label Studio is an open-source data labeling and annotation tool designed for preparing raw data or improving existing training data to enhance the accuracy of machine learning models. It supports multi-type data labeling, including audio, text, images, videos, and time series, and offers a user-friendly interface with standardized output formats. The tool is ideal for data scientists, ML engineers, and researchers who need to efficiently label and annotate diverse datasets for model training.
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