

Label Studio
Overview :
Label Studio is a flexible open-source data annotation platform suitable for various data types. It can help users prepare training data for computer vision, natural language processing, speech, audio, and video models. Label Studio provides various annotation types, including image classification, object detection, semantic segmentation, audio classification, speaker diarization, sentiment analysis, text classification, and named entity recognition. It supports quick setup and use, making it suitable for both individuals and teams.
Target Users :
Label Studio is suitable for a variety of scenarios, including computer vision tasks, speech and audio processing, natural language processing, text classification, and named entity recognition.
Features
Image Classification
Object Detection
Semantic Segmentation
Audio Classification
Speaker Diarization
Sentiment Analysis
Text Classification
Named Entity Recognition
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