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Label Studio

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Introduction：
Label Studio: open-source tool for labeling data in various models.
Added on：
2025-01-13
Monthly Visitors：
webTraffic 124.6K
Social & Email：
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URL：
https://labelstud.io
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Label Studio Product Information

What is Label Studio?

Label Studio is an open-source data labeling tool designed to prepare training data for computer vision, natural language processing, speech, voice, and video models. It offers flexibility for labeling all types of data.

How to use Label Studio?

To use Label Studio, you can follow these 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 (images, audio, text, time series, multi-domain, or video) and select the specific labeling task (e.g., image classification, object detection, audio transcription). 5. Start labeling your data using customizable tags and templates. 6. Connect to your ML/AI pipeline and use webhooks, Python SDK, or API for authentication, project management, and model predictions. 7. Explore and manage your dataset in the Data Manager with advanced filters. 8. Support multiple projects, use cases, and users within the Label Studio platform.

Label Studio's Core Features

  • Flexible data labeling for all data types
  • Support for computer vision, natural language processing, 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

  • #1 Preparing training data for computer vision models
  • #2 Preparing training data for natural language processing models
  • #3 Preparing training data for speech and voice models
  • #4 Preparing training data for video models
  • #5 Classification of images, audio, text, and time series data
  • #6 Object detection and tracking in images and videos
  • #7 Semantic segmentation of images
  • #8 Speaker diarization and emotion recognition in audio
  • #9 Audio transcription
  • #10 Document classification and named entity extraction
  • #11 Question answering and sentiment analysis
  • #12 Time series analysis and event recognition
  • #13 Dialogue processing and optical character recognition
  • #14 Multi-domain applications requiring various types of data labeling

FAQ from Label Studio

Can Label Studio handle different types of data?
Yes, Label Studio is designed to handle various data types such as images, audio, text, time series, and videos.
Can I integrate Label Studio with my ML/AI pipeline?
Absolutely! Label Studio provides webhooks, Python SDK, and API for seamless integration with your ML/AI pipeline, allowing you to authenticate, create projects, import tasks, manage model predictions, and more.
Does Label Studio support ML-assisted labeling?
Yes, Label Studio offers ML-assisted labeling by utilizing predictions to assist in the labeling process. It has backend integration with ML models, saving time and improving efficiency.
Can I connect Label Studio to cloud object storage?
Yes, Label Studio allows connectivity to cloud object storage through integrations with S3 and GCP, enabling direct labeling of data stored in the cloud.
Is Label Studio suitable for multi-project and multi-user environments?
Definitely! Label Studio supports multiple projects, use cases, and users within a single platform, making it versatile for various labeling requirements.
Label Studio Support Email & Customer service contact & Refund contact etc.
More Contact, visit the contact us page(https://humansignal.com/contact-sales/?__hstc=90244869.0907ed144974722534daf1663e74cd68.1712501011209.1712501011209.1712501011209.1&__hssc=90244869.1.1712501011210&__hsfp=2360784890)
Label Studio Company
Label Studio Company name: HumanSignal, Inc. .
More about Label Studio, Please visit the about us page(https://humansignal.com/about?__hstc=90244869.0907ed144974722534daf1663e74cd68.1712501011209.1712501011209.1712501011209.1&__hssc=90244869.1.1712501011210&__hsfp=2360784890).
Label Studio Pricing
Label Studio Pricing Link: https://humansignal.com/pricing?__hstc=90244869.0907ed144974722534daf1663e74cd68.1712501011209.1712501011209.1712501011209.1&__hssc=90244869.1.1712501011210&__hsfp=2360784890
Label Studio Youtube
Label Studio Youtube Link: https://www.youtube.com/channel/UCbloiVAlCYzBatZXk-b5rFQ
Label Studio Linkedin
Label Studio Linkedin Link: https://www.linkedin.com/company/heartex/
Label Studio Twitter
Label Studio Twitter Link: https://twitter.com/labelstudiohq
Label Studio Github
Label Studio Github Link: https://github.com/HumanSignal/label-studio

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Label Studio Analytic

Label Studio Website Traffic Analysis

Visit Over Time

  • Monthly Visits 124.6K
  • Avg.Visit Duration 180.39
  • Page per Visit 2.73
  • Bounce Rate 46%

Jan 2024-Apr 2025 All Traffic

Geography

Top 5 Regions
  • flag China 14289
  • flag India 7973
  • flag France 7113
  • flag Russia 8820
  • flag United States 16021

Jan 2024-Apr 2025 Desktop Only

Traffic Sources

  • Mail 191
  • Direct 44.6K
  • Search 64.7K
  • Social 2.8K
  • Referrals 11.7K
  • PaidReferrals 566

Jan 2024-Apr 2025 Desktop Only

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Label Studio Special

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Label Studio Tags

API audio transcription Cloud Storage computer vision Data labeling Document classification emotion recognition Image classification Natural language processing object detection Optical Character Recognition Python SDK Question answering Sentiment Analysis Speaker diarization Speech voice webhooks video models semantic segmentation audio classification named entity extraction time series classification event recognition dialogue processing multi-domain applications ML-assisted labeling