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.
Vertex AI Auto Labeling Alternative: Roboflow's AI-Assisted Labeling
Vertex AI 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 Vertex AI Auto Labeling to Roboflow?
Import images to Roboflow
Bring image datasets from Google Cloud Storage to Roboflow for labeling and 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 Vertex AI Auto Labeling and Roboflow
Teams searching for Vertex AI's Auto Annotate feature runs fixed pre-trained models over images in Cloud Storage and writes metadata to BigQuery, but it cannot label your own classes, and its output does not feed Vertex AI training datasets. Roboflow builds auto labeling in: foundation models like Grounding DINO and SAM 3 label images for the exact classes you define, so teams automate up to 90% of human labeling and can label 1,000 images in under ten minutes. Engineers choose Roboflow because they can sign up, auto label a dataset, train a model, and deploy the same day, with export to 40+ formats along the way.
Roboflow Auto labeling
- Roboflow Auto Label runs foundation models like Grounding DINO and SAM 3 over your dataset from a plain-text prompt: describe your classes, evaluate on a sample, then label thousands of images in one batch
- Label 1,000 images in under ten minutes; over 2 million images have been auto labeled with Roboflow to date
- Set confidence thresholds and test prompts on a subset before committing a full labeling run, so you tune quality before you spend time on it
- Auto labeled images flow straight into Roboflow Annotate for human review, correction, and approval; nothing ships to training unreviewed
Roboflow AI-assisted manual labeling
- Label Assist uses your own trained models to pre-annotate new images, cutting human labeling time by 95%
- Smart Polygon creates one-click polygon annotations powered by Meta AI's SAM3
- Full annotation coverage in one editor: bounding boxes, instance segmentation polygons, keypoint skeletons, and whole-image classification
Review and team workflow with Roboflow
- Role-based labeling workflow with Admin, Labeler, and Reviewer roles, assignment tracking, and notifications when work lands in someone's queue
- Annotation history with version revert, so a bad labeling pass never costs you the dataset
- 750,000+ datasets and 575+ million images labeled with Roboflow; a managed labeling service is available when you'd rather hand the queue to experts