heartexlabs/label-studio
Label Studio
Label Studio es una herramienta de etiquetado de datos de múltiples tipos y un espacio de trabajo de anotación de datos diseñado para preparar conjuntos de datos para el entrenamiento de aprendizaje automático. Funciona como una tubería de datos integrada en la nube que importa datos sin procesar del almacenamiento, gestiona el proceso de anotación y exporta etiquetas a formatos estandarizados.
La plataforma cuenta con un marco de integración de modelos de aprendizaje automático que se conecta a servidores de modelos externos. Esto permite la anotación asistida por modelos y el aprendizaje activo, lo que permite al sistema realizar un pre-etiquetado y refinar las predicciones basadas en la retroalimentación humana.
El software proporciona herramientas de gestión de proyectos para organizar conjuntos de datos y asignar tareas a los usuarios a través del acceso basado en roles. Admite varios tipos de datos y utiliza adaptadores de almacenamiento agnósticos del backend para conectarse con sistemas de archivos locales o proveedores de almacenamiento en la nube.
La aplicación se puede instalar mediante configuración manual o implementaciones con un solo clic en la infraestructura de la nube.
Features
- Data Labeling Platforms - Functions as a comprehensive platform for preparing and annotating diverse datasets for machine learning training pipelines.
- Multi-Type Data Annotation - Supports labeling various data types using a standardized output format to ensure compatibility across training pipelines.
- Universal Annotation Schemas - Stores all labels in a universal JSON schema to ensure compatibility across different machine learning training pipelines.
- Data Annotation Workflows - Provides automated pipelines that import raw data, apply labels via a web interface, and export it into standardized formats.
- Annotation Format Converters - Converts labeled data into standardized formats compatible with various machine learning models for training.
- Annotation Dataset Creation - Creates high quality annotated datasets for training machine learning models across various data formats and types.
- Model Integrations - Provides a framework for connecting external machine learning model servers to perform pre-labeling and active learning.
- Annotation Project Management - Coordinates multi-user labeling tasks and manages large datasets within a shared workspace to ensure consistency.
- Cloud-Integrated Labeling Pipelines - Functions as a workflow tool that imports data from cloud storage and exports labels into various machine learning formats.
- Model-Assisted Labelers - Integrates machine learning models to automatically generate initial annotations and refine training data.
- ML Model Server Integrations - Enables the connection of external model servers to automate data pre-labeling via automated predictions.
- Active Learning - Connects machine learning models to the labeling process to automate pre-labeling and refine predictions via human feedback.
- Hybrid Cloud Storage Configuration - Saves application assets and uploaded files using local directories or compatible cloud storage for data persistence.
- Training Data Pipelines - Organizes and cleans raw data through labeling and formatting to make it compatible with model training pipelines.
- External Data Connectors - Links the labeling interface to external data sources through a modular system of import and export scripts.
- Storage Backend Adapters - Implements a driver layer that abstracts data persistence across local filesystems and cloud storage buckets.
- Model Prediction Interfaces - Communicates with external machine learning servers via standardized API calls to fetch predictions for pre-labeling.
- Role-Based Access Control - Controls data visibility and annotation assignments by mapping user accounts to specific project permissions.
- Pipeline Integration - Allows embedding the annotation process into larger automated data processing workflows via a standardized interface.
- Annotation - Multi-type data labeling and annotation tool.
- Computer Vision Libraries - Multi-type data labeling and annotation tool.
- Anotación de datos - Plataforma de etiquetado y anotación de datos de múltiples tipos.
- Image Annotation Tools - Multi-modal data labeling tool with standardized output formats.
- Multi-Domain Annotation - Configurable annotation tool supporting various data types.
- Multi-Modal Annotation - Configurable platform supporting diverse data types and workflows.
- Multimodal Annotation Tools - Versatile labeling tool supporting multiple data types with standardized output.
- Herramientas de desarrollo - Provides a multi-type interface for data annotation and labeling.
