Label Studio Alternatives

Flexible data labeling tool for various data types, including images, audio, and text, with customizable layouts, ML-assisted labeling, and cloud storage integration.
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SuperAnnotate

If you're looking for a Label Studio alternative, SuperAnnotate is a good choice. This end-to-end enterprise platform supports a variety of GenAI tasks, including computer vision, natural language processing, and more. It has customizable interfaces, sophisticated AI tools, and a global marketplace for vetted annotation teams. The platform also has data security and privacy controls that follow industry standards.

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Encord

Another good alternative is Encord. This full-stack data development platform is geared for building predictive and generative computer vision applications. It includes tools for data ingestion, cleaning, curation and automated labeling, for example with Annotate for various annotation types and Active for monitoring model performance. Encord is designed to be secure and to integrate with storage and MLOps tools.

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Dataloop

If you're more focused on developing AI applications, Dataloop combines data curation, model management, pipeline orchestration and human feedback to speed development. It includes features like automated preprocessing, model deployment and strong security controls. Dataloop supports many types of unstructured data and is designed to improve collaboration and development speed.

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V7

Last, V7 offers a full machine learning development platform that automates tasks and optimizes data labeling. With tools like V7 Darwin for image and video labeling and V7 Go for multi-modal tasks, it offers features like Auto-Annotate and Custom Data Workflows. V7 integrates with popular tools and services, and it follows industry regulations, so it's a good alternative for AI project delivery.

More Alternatives to Label Studio

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Appen

Fuel AI innovation with high-quality, diverse datasets and a customizable platform for human-AI collaboration, data annotation, and model testing.

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UBIAI

Accelerate custom NLP model development with AI-driven text annotation, reducing manual labeling time by up to 80% while ensuring high-quality labels.

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Clarifai

Rapidly develop, deploy, and operate AI projects at scale with automated workflows, standardized development, and built-in security and access controls.

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Roboflow

Automate end-to-end computer vision development with AI-assisted annotation tools, scalable deployment options, and access to 50,000+ pre-trained open source models.

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Dataiku

Systemize data use for exceptional business results with a range of features supporting Generative AI, data preparation, machine learning, MLOps, collaboration, and governance.

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Humanloop

Streamline Large Language Model development with collaborative workflows, evaluation tools, and customization options for efficient, reliable, and differentiated AI performance.

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Scale

Provides high-quality, cost-effective training data for AI models, improving performance and reliability across various industries and applications.

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Graphlit

Extracts insights from unstructured data like documents, audio, and images using Large Multimodal Models, automating content workflows and enriching data with third-party APIs.

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LandingLens

Unlock insights from unlabeled images, achieve accurate results, and deploy computer vision models flexibly and scalably across industries.

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Airtrain AI

Experiment with 27+ large language models, fine-tune on your data, and compare results without coding, reducing costs by up to 90%.

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LLMStack

Build sophisticated AI applications by chaining multiple large language models, importing diverse data types, and leveraging no-code development.

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Novita AI

Access a suite of AI APIs for image, video, audio, and Large Language Model use cases, with model hosting and training options for diverse projects.

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MLflow

Manage the full lifecycle of ML projects, from experimentation to production, with a single environment for tracking, visualizing, and deploying models.

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H2O.ai

Combines generative and predictive AI to accelerate human productivity, offering flexible foundation for business needs with cost-effective, customizable solutions.

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LastMile AI

Streamline generative AI application development with automated evaluators, debuggers, and expert support, enabling confident productionization and optimal performance.

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Keywords AI

Streamline AI application development with a unified platform offering scalable API endpoints, easy integration, and optimized tools for development and monitoring.

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Klu

Streamline generative AI application development with collaborative prompt engineering, rapid iteration, and built-in analytics for optimized model fine-tuning.

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Instill

Automates data, model, and pipeline orchestration for generative AI, freeing teams to focus on AI use cases, with 10x faster app development.

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MarkovML

Transform work with AI-powered workflows and apps, built and deployed without coding, to unlock instant data insights and automate tasks.

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Openlayer

Build and deploy high-quality AI models with robust testing, evaluation, and observability tools, ensuring reliable performance and trustworthiness in production.