Data annotation 7

Appen provides data and services to improve AI model performance and accelerate AI development. Appen provides high-quality, scalable data for AI models and applications. They offer an end-to-end platform, flexible services, and deep expertise to ensure the delivery of diverse data crucial for building foundation models and enterprise-ready AI applications. Appen supports the AI lifecycle by providing software to collect, curate, fine-tune, and monitor traditionally human-driven tasks, creating efficiencies through a trustworthy process. They offer AI training data, data annotation, data collection, LLM training data & services, multilingual AI, evaluation & benchmarking, supervised fine tuning, and off-the-shelf datasets.

Global marketplace for vetted human AI data experts and managed labeling services. OpenTrain AI is a global freelance marketplace that connects existing annotation tools with vetted human data experts worldwide. It enables users to directly hire specialized human data experts for any AI training need, reducing costs, maintaining control, and quickly building high-quality AI training data. The platform supports integration with any data labeling software and offers secure global payments. Additionally, OpenTrain AI provides a fully-managed service where in-house experts handle end-to-end AI data labeling projects.

AI-powered data annotation platform for accurate machine learning labels and efficient collaboration. Unitlab is a data annotation platform driven by AI. It collects raw data automatically and allows you to collaborate with human annotators to generate highly accurate labels for your machine-learning models. It offers auto-annotation tools and collaborative annotation features to accelerate the data annotation process. Unitlab provides on-premises solutions and integrated labeling services.

French data labeling company providing high-quality training data for AI algorithms. People For AI is a French data labeling company that provides high-quality training data for computer vision, NLP, and speech recognition algorithms. They offer data labeling services with experts, better tools, and a better methodology, focusing on delivering labeled datasets needed for AI projects. They work with in-house labelers, ensuring world-class labeled data and higher security levels. They handle complex images and text labeling projects, prioritizing quality and selecting the best process, tool, and team for each project. They also help define the right data annotation or tagging strategy with their experts.

Synthetic data generation platform for training vision AI models, ensuring privacy and compliance. syntheticAIdata helps businesses overcome the challenge of acquiring high-quality synthetic data for training their vision AI models. It provides a solution for generating synthetic data at scale for computer vision model training. The platform allows users to craft diverse datasets effortlessly, ensuring privacy, regulatory compliance, and expediting AI products' journey to the market. It offers features like unlimited data generation, perfectly annotated datasets, cost-effectiveness, a no-code solution, cloud integrations, and elimination of privacy risks.

Data annotation and management platform for AI model development and collaboration. Annotab Studio is a data annotation and management platform designed to streamline collaboration for building and deploying artificial intelligence models. It is a product of Annotab AI, offering a complete and centralized solution for seamless AI development. Annotab Studio is a web-based tool for creating and managing annotations for data, leveraging industry-standard models to accelerate the data labeling process. It provides tools for managing datasets, tracking annotation progress, and version controlling, empowering ML lifecycle management.

Encord is a data platform for computer vision teams to build and deploy AI models. Encord is the leading data platform for advanced computer vision teams. It provides a complete data engine for AI model development, streamlining labeling and workflow management, intelligently cleaning and curating data, easily validating label quality, and evaluating model performance. Encord helps teams build better models and deploy high-quality production AI faster.