Labelbox and Roboflow

AI-assisted labeling that moves faster

Labelbox vs Roboflow? Over 2 million engineers create datasets, train models, and deploy with Roboflow, and every plan, including the Free tier, comes with self-hosted inference, model weights download, and a private workspace.

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Why are companies choosing Roboflow?

Roboflow is enterprise vision AI infrastructure, used by more than half of the Fortune 100, with SOC 2 Type II, HIPAA, and air-gapped deployment. Create datasets, train models, and deploy to production.

  • End-to-End Vision, One Platform

    From labeling to deployment - build, train, and launch with ease.

  • Built for Builders, Ready for Anything

    Interoperable infrastructure for developers to create custom vision solutions.

  • AI at the Edge, Without Limits

    Deploy seamlessly to any edge device and power real-time vision AI.

  • Roboflow Annotate labeling cans with AI box prompting

    Fast data labeling

    Label data quickly with a suite of AI-assisted annotation tools to augment human labeling or fully automate your data labeling pipeline.

  • Workflow blocks for notifications and integrations

    Build vision AI applications with ease

    Use a low-code open source platform to simplify building and deploying vision AI applications.

  • A team reviewing a detected pallet in a warehouse aisle

    Machine learning expertise, always

    Work with account-dedicated AI specialists and Field Engineers to accelerate development and optimize performance.

  • Photos from datasets across industries

    Datasets and models for every industry

    Access thousands of datasets and pre-trained models to kickstart your computer vision projects.

  • Logos of OpenAI, Microsoft, Meta, Anthropic, Google and Qwen

    Flexible model licensing

    Choose from a range of licensing options to fit your needs, whether for commercial use, private deployment, or collaboration across teams.

Want to migrate from Labelbox to Roboflow?

  • Import images to Roboflow

    Bring data from Labelbox to Roboflow for model training.

  • Deploy with Roboflow

    No matter where you train your model, use Roboflow's trusted deployment solutions.

  • Automate data labeling

    Use AI labeling in Roboflow to automate 90% of human labeling.

OK I’m ready, how do I use Roboflow?

Roboflow makes it easy to build, train, and deploy custom computer vision models, even if you’re not a machine learning expert.

Start a free Roboflow account

Talk to a Vision AI engineer about faster labeling

Bring us your Labelbox project and we'll show AI-assisted labeling on your data on the first call.

Ask us about:

  • Import of your existing labels in COCO, YOLO, or 40+ other formats
  • A live demo of Auto Label on your own images
  • Training and deployment in the same platform
  • Pricing compared against your current plan

Over 80,000 organizations build with Roboflow.

  • Rivian
  • Pella
  • Chobani
  • USG Corporation
  • BNSF Railway
  • American Woodmark
Start where you are

Compare Labelbox and Roboflow

Labelbox’s offering spans data labeling, expert services, reinforcement learning environments, and enterprise agents. For teams building computer vision with proprietary images, Roboflow focuses on a specific goal: giving your team control over the data, models, and applications it puts into production.

That starts with the people who understand your data. Your engineers and domain experts can define classes, annotate images, resolve ambiguous examples, and approve labels in Roboflow. Use your own trained models to assist with labeling, or label from a text prompt with frontier models through Auto Label (opens in a new tab). Review the results before they become training data. Private projects are included on the free plan, with 10 monthly credits to evaluate the process on your own images.

Your team can then train a specialized model and build the application around it. Roboflow Agent helps select models and create Workflows, while the ChatGPT plugin (opens in a new tab) and MCP integration make dataset management, labeling, training, and inference available through conversational tools. Engineers can inspect the resulting logic, change how predictions are handled, and export datasets and supported model weights.

For enterprise deployments, control also means deciding who has access and where processing happens. Roboflow Enterprise offers US or EU data residency, with additional options for custom roles, folder permissions, audit logs, and Agent governance. Deploy supported models on your own infrastructure to process production images locally, with offline options and implementation support available for enterprise requirements. Self-hosted inference does not consume Roboflow credits, so your team can retain control of deployment as image volumes grow.

Labelbox vs Roboflow: Feature by Feature

FeatureRoboflowLabelbox
Data and task typesComputer vision; object detection, instance and semantic segmentation, classification, keypoints, OCR, depth estimation, and multimodal tasksBroad multimodal; image, video, text, documents, geospatial, audio, conversational text, and HTML, plus LLM evaluation editors
AI-assisted labelingYes, Auto Label labels the classes you describe in a text prompt; Smart Polygon powered by Meta AI's Segment Anything; Label Assist pre-annotates with your own trained modelsYes; Foundry runs foundation models to generate labels, AutoSegment uses Meta's Segment Anything, and pre-labels from your own models can be imported for review
Labeling team workflowYes, Admin, Labeler, and Reviewer roles with assignment tracking; annotation history with version revertYes, custom labeling and review workflows and a project performance dashboard on Starter and above
Managed labelingAvailable; a managed labeling service is availableYes, a core offering; the Alignerr expert network covers 200+ domains, plus on-demand labeling services
Dataset managementBuilt in; dataset versioning, preprocessing, and augmentationCatalog; connects to 25+ cloud sources, with vector and traditional search and curation
Export formats40+ formats, including COCO, YOLO, and Pascal VOCJSON; per-data-type JSON exports; COCO, YOLO, and Pascal VOC exports not documented
Train your own modelYes, RF-DETR, YOLO (v8 / v11 / v26), Detectron2, and moreBring your own; Model and Foundry integrate custom models for pre-labeling and error analysis; native training not documented
Edge deploymentYes, NVIDIA Jetson, GPU servers, Raspberry Pi, x86, or Roboflow AI1, online or fully offlineNot documented
Deployment optionsManaged cloud, customer VPC, on-premises, and fully air-gapped / offlineLabelbox-hosted on Google Cloud, with customer-hosted assets via signed URLs or delegated access; on-premises and air-gapped not documented
Public datasets and modelsYes, 1,000,000+ datasets and 100,000+ pre-trained models on Roboflow UniverseNot documented
API and SDKYes, Python SDK, REST API, MCP server, public docs; open-source inference server and supervision libraryYes, open-source Python SDK (labelbox-python, Apache-2.0) and public docs
ComplianceSOC 2 Type II, HIPAA with BAAs, PCI DSSSOC 2 Type II, HIPAA compliance program, GDPR, and CCPA; PCI DSS and NIST 800-171 also listed on labelbox.com
Self-hosted inference serverYes, open-source inference server for custom and foundation modelsNot documented; model training and serving are not part of the documented SDK
PricingPublished plans; every plan, including Free, includes self-hosted inference, model weights download, and a private workspaceFree plan (up to 30 users and 50 projects), Starter, and custom-priced Enterprise; labeling services priced per hour

Best Labelbox Alternatives

Roboflow is the top Labelbox alternative for teams that want labeling, training, and deployment in one platform. Teams comparing Labelbox also look at: