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.
Labelbox Alternative: Roboflow's Fast AI-Assisted Labeling
Labelbox vs Roboflow? Over 1 million engineers create datasets, train models, and deploy to production with Roboflow.
Why are companies choosing Roboflow?
The turnkey solution for vision AI. Create datasets, train models, and deploy to production.
AnnotateAI-accelerated labeling and dataset optimization
TrainComplete model training toolset and platform
BuildVisual application builder and template
DeployManaged infrastructure, cloud and edge support
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.
Build vision AI applications with ease
Use a low-code open source platform to simplify building and deploying vision AI applications.
Machine learning expertise, always
Work with account-dedicated AI specialists and Field Engineers to accelerate development and optimize performance.
Datasets and models for every industry
Access thousands of datasets and pre-trained models to kickstart your computer vision projects.
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.
Speak with an AI expert
Our team will help you start solving business problems on the first call.
Ask us about:
- Solution architecting
- Live demonstration
- Pricing and specifications
- Feasibility assessment
Over 16,000 organizations build with Roboflow.
- Rivian
- Pella
- Chobani
- USG Corporation
- BNSF Railway
- American Woodmark
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Compare Labelbox and Roboflow
Labelbox is the RL data engine for AI teams: reinforcement learning data, model evaluation, and the Alignerr expert network for frontier AI labs. Engineering teams that prioritize data privacy, security, and full control, especially when working with proprietary or sensitive datasets, often use Roboflow. With Roboflow, you can keep your data secure within your own organization, meet rigorous compliance standards, and enable your team to label data directly, without handing it off to a third party. Engineers choose Roboflow because they can sign up and start working immediately, retain control over their entire workflow, and move faster without vendor bottlenecks.
Roboflow
End-to-end computer vision platform (annotate, train, deploy)
Labelbox
RL data engine and labeling services for frontier AI teams
Scale & Ecosystem
Roboflow
- 1,000,000+ developers on the platform
- 1,000,000+ public datasets on Roboflow Universe
- 100,000+ pre-trained models hosted publicly
- 25,000+ organizations building with the platform, including more than half of the Fortune 100 (publicly cited: Rivian, Chobani, USG, Pella)
- Self-serve sign-up; teams can begin annotating, training, and deploying without a services contract
Labelbox
- The RL data engine for AI teams, claiming partnerships with over 90% of leading AI labs in the U.S.
- Featured customers now center on frontier AI and enterprise services
- Total disclosed funding of approximately $189M from Andreessen Horowitz, SoftBank Vision Fund, B Capital, Gradient Ventures (Google), and Databricks Ventures
- Default delivery model is services-led: the Alignerr expert network and custom data products alongside the software platform
- No public catalog of community-contributed datasets or pre-trained models comparable to Roboflow Universe
Product Capabilities (Computer Vision)
Roboflow
- End-to-end platform: dataset management, annotation, model training, hosted inference, and deployment
- Auto Label uses foundation models (Grounding DINO, SAM 3) to label images for classes you define in a text prompt; label 1,000 images in under ten minutes
- Label Assist pre-annotates new images with your own trained models, and Smart Polygon creates one-click polygon annotations powered by Meta AI's Segment Anything 2
- Native support for object detection, instance and semantic segmentation, image classification, keypoint detection, OCR, depth estimation, and multimodal tasks
- Roboflow Workflows for chaining detection, classification, OCR, and business logic into a single pipeline
- Active model registry covering RF-DETR, YOLO (v8 / v11 / v26), Detectron2, and other current architectures
Labelbox
- Annotation coverage for image, video, text, PDF, tiled geospatial, medical imagery, and audio data
- Model-assisted labeling, foundation-model pre-labeling, consensus scoring, and AI-assisted QA
- Product line as of 2026 centers on RL and evaluation infrastructure: Recursion (RL platform for enterprise agents), Horizon, Terra, and Alignerr; self-serve annotation software is de-emphasized in current positioning
- Computer vision annotation continues largely as service engagements (for example, robotic surgery video annotation for Intuitive Surgical)
- Does not include a native, hosted training-to-inference layer purpose-built for the CV task list above; CV deployment is typically handled in customer-owned downstream infrastructure
- No public registry of swappable model weights comparable to Roboflow's model registry
Developer Experience
Roboflow
- Open-source supervision library - model-agnostic utilities for detections, tracking, annotation, and evaluation
- Open-source inference server - self-hostable HTTP inference for custom and foundation models
- Native integrations with Hugging Face Transformers, MMDetection, and the broader open-source CV stack
- Python SDK plus REST/HTTP APIs; standardized I/O lets teams swap model weights without changing application code
Labelbox
- Open-source Python SDK (labelbox-python) on GitHub; 50 public repositories in the Labelbox organization
- GraphQL-based API; companion library (labelpandas) for tabular workflows
- SLSA Level 3 build provenance attached to recent SDK releases
- No comparable open-source CV utility library or self-hostable inference server in mainstream community use; SDK is oriented to data, annotation, and project operations rather than model training or serving
Enterprise & Security
Roboflow
- SOC 2 Type II compliant
- HIPAA-compliant infrastructure with BAAs available
- PCI DSS (SAQ A and AOC) compliance
- Deployment options: managed cloud, customer VPC, on-premises, and fully air-gapped / offline (Docker-based) for firewalled environments
- Training and inference can run on customer-owned bare metal or in the customer's own cloud account
Labelbox
- SOC 2 Type II certified
- HIPAA compliance program in place; GDPR and CCPA compliance procedures documented
- ISO 27001 and PCI DSS are cited as standards informing the security program; formal certification and attestation are not claimed on the trust page
- Primary deployment is Labelbox-hosted on Google Cloud; most customers self-host assets in their own cloud via signed URLs or delegated access, keeping raw data in their environment
- Customer-VPC, on-premises, and fully air-gapped platform deployments are not publicly documented as standard offerings
Sources: roboflow.com, docs.roboflow.com, security.roboflow.com, universe.roboflow.com, github.com/roboflow, labelbox.com, labelbox.com/company/security, docs.labelbox.com, github.com/Labelbox, pitchbook.com, crunchbase.com. Figures reflect publicly available information as of August 2026.