Label Studio
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A Label Studio is a data labeling tool that supports the annotation of various data types including audio, text, images, videos, and time series data.
- Context:
- It can be installed locally or deployed in a cloud instance, offering flexibility for different use cases.
- It can be integrated into machine learning and AI pipelines through webhooks, a Python SDK, and API.
- It can support ML-assisted labeling, allowing for the use of predictions to assist the labeling process.
- It can offer flexibility in connecting to cloud object storage directly with S3 and GCP for labeling data.
- It can support multiple projects and users, making it suitable for collaborative work in different data types and use cases.
- It can have a global community of users and is trusted by companies both large and small for data labeling needs.
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- Example(s):
- Label Studio, v1.
- ...
- Counter-Example(s):
- A Data Visualization Vool that is used for presenting data rather than labeling.
- See: Data Annotation Tool, Image Labeling, Machine Learning Integration, Multi-Type Data Labeling, Open Source Tools for AI, Text Annotation, Video Annotation.