Tutorials

We’ve jam-packed this page with the most important information to get you up and going with Label Studio.

Sentiment analysis provides consistent, data-driven insights for businesses looking to better understand their users and products. Here’s how to get started.

Use webhooks from open source data labeling software Label Studio to seamlessly integrate your Amazon SageMaker model development workflow for your machine learning and data science projects using AWS Lambda, Amazon S3, and public domain bird images.

Use open source data labeling software Label Studio to quickly create YOLO v3 and v4 compatible datasets for training purposes and image labels for image object detection data science and machine learning projects.

Use open source data labeling software Label Studio to improve optical character recognition (OCR) results for receipts, invoices, menus, signs, and other important images processed with Tesseract and Python.

Use open source data labeling software Label Studio to improve audio transcriptions of customer support calls, video conference meetings, and other audio recordings.

Use Label Studio to evaluate named entity recognition parsers like spaCy and revise predictions by annotating a gold standard dataset for your data science and machine learning projects.