What is Label Studio?
Label Studio is an innovative AI tool that serves as an open-source data labeling platform. It is specifically designed to prepare training data for computer vision, natural language processing (NLP), speech, voice, and video models. This versatile tool offers flexibility in labeling all types of data, making it an indispensable asset for data scientists and developers.
How to use Label Studio?
Using Label Studio is a straightforward process that can be broken down into the following steps: 1. Install the Label Studio package through pip, brew, or clone the repository from GitHub. 2. Launch Label Studio using the installed package or Docker. 3. Import your data into Label Studio. 4. Choose the data type that matches your specific needs, such as images, audio, text, time series, multi-domain, or video. 5. Select the appropriate labeling task for your data, whether it's image classification, object detection, audio transcription, or any other task. 6. Start labeling your data using customizable tags and templates, ensuring high-quality annotations. 7. Seamlessly connect Label Studio to your ML/AI pipeline using webhooks, Python SDK, or API for authentication, project management, and model predictions. 8. Effectively explore and manage your dataset in the Data Manager, utilizing advanced filters to streamline your workflow. 9. Benefit from Label Studio's support for multiple projects, use cases, and users within the platform, empowering collaboration and scalability.
Key Features Of Label Studio
Flexible data labeling for all data types
Support for computer vision, NLP, speech, voice, and video models
Customizable tags and labeling templates
Integration with ML/AI pipelines via webhooks, Python SDK, and API
ML-assisted labeling with backend integration
Connectivity to cloud object storage (S3 and GCP)
Advanced data management with the Data Manager
Support for multiple projects and users
Trusted by a large community of Data Scientists
Label Studio's Use Cases
Preparing training data for computer vision models
Preparing training data for natural language processing models
Preparing training data for speech and voice models
Preparing training data for video models
Classification of images, audio, text, and time series data
Object detection and tracking in images and videos
Semantic segmentation of images
Speaker diarization and emotion recognition in audio
Audio transcription
Document classification and named entity extraction
Question answering and sentiment analysis
Time series analysis and event recognition
Dialogue processing and optical character recognition
Multi-domain applications requiring various types of data labeling
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Label Studio Support Email & Customer service contact & Refund contact etc.
For more information or support, please contact us at [email protected].
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Label Studio Company
Label Studio is developed by HumanSignal, Inc., a leading company in the field of AI and data labeling.
For more information about Label Studio and our company, please visit our About Us page.
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Label Studio Pricing
For detailed pricing information, please visit our Pricing page.
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Label Studio Youtube
Find helpful tutorials and demos on our YouTube channel.
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