Roboflow is a platform for preparing images and datasets for machine learning, built to streamline computer vision workflows from labeling to deployment.
What you can do with Roboflow
- Label images manually or with AI-assisted annotation
- Create dataset versions to improve training quality
- Apply image preprocessing and augmentation (resize, rotate, add noise, and more)
- Organize datasets with sorting, filtering, and train/validation splits
- Train models using popular architectures and workflows
- Deploy models to cloud or edge environments
Models, frameworks, and deployment
- Works with YOLO, EfficientDet, and Faster R-CNN
- Supports TensorFlow and PyTorch, including pretrained models
- Export options include TensorFlow Lite, ONNX, and CoreML
- Provides a REST API for integration
Pricing and common use cases
- Free plan for small projects with limited functionality
- Paid plans start at $150 for larger projects and teams
Roboflow is used in areas such as:
- Healthcare
- Automotive
- Agriculture
- Logistics
- Security
- Retail


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