Name | Label Studio |
Overview | Label Studio is an open-source data labeling platform that facilitates the enhancement of machine learning models by preparing and validating training data. It features machine learning (ML) model pre-labeling and customizable tagging, enabling efficient labeling of a variety of data types, including images, audio, text, time series, and video. This comprehensive tool supports an array of tasks, such as image classification, object detection, audio transcription, sentiment analysis, and optical character recognition, making it ideal for applications in natural language processing (NLP), computer vision, and Internet of Things (IoT) devices. Label Studio also provides configurable layouts and integrates seamlessly with ML/AI pipelines and cloud storage, streamlining data labeling workflows and boosting model accuracy, and is widely trusted by data scientists globally for accurate data annotation. |
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Pricing | Label Studio operates on a subscription-based pricing model:
Note: Pricing packages are subject to change. Always verify pricing information here. |
Tags | Data Labeling, Machine Learning, Data Annotation, AI Model Validation, NLP, Computer Vision. |
App available? | No app |
Label Studio
Overview
Discover Label Studio, the open-source platform for efficient data labeling and machine learning model training. Streamline your workflows with customizable tagging and versatile support for diverse data types.
Category: Data Analysis
