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Labelbox vs Roboflow

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Roboflow

8.3#1 in ai image recognition softwareFrom $39 a month
Free planAndroidiOSWebAPI
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What both publish

FactLabelboxRoboflow
Founded20182020
IntegrationsExamples of connected apps shown include Slack, GitHub, Linear, Salesforce, Databricks, Google Drive, Box, and Jira.Roboflow lists 38 integrations, including AWS S3, CVAT, Labelbox, Amazon SageMaker, Google Colab, Kubernetes, Jetson, Raspberry Pi, iOS, and Zapier.
SecurityLabelbox says hosted labeled data, metadata, and private user information are encrypted at rest with AES-256 and data in transit with TLS 1.2 or later.Roboflow’s Trust Center states that it uses AES-256 encryption and provides access to security materials including SOC 2 and HIPAA information.
SupportThe Foundry guide directs users with workflow questions or feedback to submit a support ticket.Roboflow provides a knowledge base, developer documentation, forums, YouTube tutorials, and enterprise priority support by email and in-app chat.

Labelbox plans

No prices published.

Roboflow plans

  • Free TierFree
  • Core$39 a month
  • EnterprisePriced on request

Pick Labelbox if…

Labelbox suits AI labs seeking reinforcement learning environments and organizations that need annotation, expert labeling, or agent workflows. Teams using Recursion can trigger work through schedules, alerts, events, or API calls and connect results to listed apps.

Pick Roboflow if…

Roboflow suits developers and enterprises building computer vision applications, especially teams that need annotation, model deployment and dataset collaboration. Its self-hosting, VPC and on-premise options may suit organizations with deployment or data-sovereignty requirements.

Charts they share