Everything you need to build and deploy computer vision models, from automated annotation tools to high-performance deployment solutions.
Roboflow provides an end-to-end platform for computer vision projects, spanning dataset management, model training, and deployment. Users upload images or video files, annotate them using AI-assisted labeling, preprocess and augment datasets, train models on hosted GPU infrastructure, and deploy to cloud or edge devices. The platform supports multiple annotation formats and model types, with integrations for popular labeling tools and cloud services.
End‑to‑end pipeline: annotate, train, deploy CV models
Universe hosts 90k+ datasets, 60M+ images
Great for beginners; low‑code interface, clear UX
Cloud training saves buying and managing GPUs
Flexible deployment: edge devices, API, on‑prem options
Some complain of billing issues and hard cancellation
Labeling UI clunky for very precise segmentations
Struggles or slows with very large (>5k images) datasets
Heavy abstractions can hide fundamentals for learners