data labeling automation tool - AI tools

Labelbox provides a comprehensive suite of data solutions to operate, build, or staff your AI data factory, generating high-quality training data and evaluating model performance.

• Freemium

Label Studio is an open-source data labeling platform that enables users to annotate various data types including GenAI, images, audio, text, time series, and video for machine learning model training and validation.

• Freemium

DataVLab offers scalable and ethical data labeling services, including image, video, and 3D annotation, to enhance AI and machine learning models. Their AI-assisted process ensures high-quality, efficient results across various industries.

• Contact for Pricing

Mindkosh is a comprehensive platform for data curation, labeling, and validation, offering annotation services and tools for AI projects.

• Other

Keylabs is a comprehensive data annotation platform that combines AI-assisted tools for image and video labeling with advanced management capabilities. The platform offers high-precision annotation services across multiple industries with up to 99.9% accuracy.

• Free Trial

Dioptra provides an open source solution for data curation and management, focusing on enhancing model accuracy and efficiency in computer vision, natural language processing, and large language models.

• Freemium
• From 1000$

Innovatiana provides high-quality, ethically sourced data labeling services to maximize the performance of your AI models. We specialize in data labeling, collection, moderation, document processing, and NLP.

• Pay Once

DataGym is an AI-powered training data and image annotation platform that helps data scientists and ML experts label images up to 10x faster with AI-assisted annotation tools and complete project management capabilities.

• Freemium
• From 19$

Unitlab AI is a collaborative and AI-powered data annotation platform designed to accelerate data annotation by 15x and minimize costs by 5x with advanced auto-annotation tools.

• Freemium
• From 89$