Roboflow

What is Roboflow

Roboflow is a comprehensive platform for building and deploying computer vision models. It provides tools for image annotation, model training, and deployment, enabling engineers to create datasets, train custom or pre-trained models, and deploy them across various devices and environments. The platform supports collaboration and scalability, making it suitable for a wide range of industries including healthcare, agriculture, retail, and more.

Key Features of Roboflow

- Automated Image Labeling: Automatically label images for use in training models with the Auto Label feature.

- Extensive Platform Options: Supports diverse platforms including GPU and API to cater to varied deployment needs.

- Comprehensive Ecosystem: Tools span across the development spectrum from annotation, model training, and deployment to integrations and inference.

- Diverse Industry Applications: Serves industries like Aerospace, Agriculture, Healthcare, Automotive, Banking, Government, and more.

- Annotation and Labeling Tools: Designed for ultra-fast labeling in the browser with pre-trained models and tools like SAM to automate labeling.

- High Efficiency in Data Management: Brings images and videos from various sources, supports 40+ annotation and image formats, and automates preprocessing and augmentation.

- Version Control: Tracks multiple versions of datasets to facilitate experimentation.

- Semantic Search Capabilities: Uses text-based semantic search and CLIP vectors to find similar data and anomalies.

- Custom Model Training and Management: Provides infrastructure to train custom models while saving time and money, with options to use pre-trained models or leverage foundation models.

- Scalable Deployment: Supports both edge and cloud deployment with managed infrastructure for using custom or foundation models.

- Project Management: Simplifies project management with features like job assignment, labeling instructions, and notifications.

- Security and Compliance: Ensures enterprise-grade infrastructure with compliance to SOC2 Type 2, HIPAA, and robust data encryption.

- Developer-Friendly Tools: Provides rich documentation, SDKs, and open APIs for customization and integration into existing workflows.

- Interactive Python Experience: Easy to get started with, featuring interactive Python tools for uploading and processing images.

- Open Source Contributions: Includes several open-source Jupyter notebooks and frameworks for model training and deployment.

- Foundation Model Integration: Enables the use of models from leading sources like OpenAI and Meta AI, and allows fine-tuning with custom data.

- Versatile Deployment Options: Compatible with devices and environments like NVIDIA Jetson, Raspberry Pi, and OAK cameras, ensuring flexible deployment scenarios.

- Innovative Project Workflow Solutions: From annotation, project tracking, model training, to deployment, creating a cohesive and productive workflow.

Pricing

1. Public Plan:

• Cost: Free
• Best for: Personal, open source, and research projects.
• Features:
  • 3 users (maximum)
  • 3 training credits
  • 1,000 Auto Label credits per month
  • 10,000 Inference credits per month
  • Access to as-available legacy GPUs with slower training speeds
  • REST API access
  • Datasets and models are public for community use

2. Starter Plan:

• Cost: $249/month
• Best for: Individuals and businesses with under 100 employees
• Features:
  • 3 users (with additional users at $99/user/month)
  • 10 training credits to start; 5 additional per month
  • 10,000 Auto Label credits per month
  • 25,000 Inference credits per month
  • Access to premium GPUs for fastest training
  • Commercial model license
  • Model evaluation
  • Premium data augmentations
  • Priority support
  • Datasets and models are private to your account

3. Enterprise Plan:

• Cost: Custom pricing
• Best for: Businesses needing custom deployment options and dedicated support
• Features:
  • Includes everything in the Starter plan, plus additional features:
  • Single Sign-On (SSO)
  • Active Directory Integration
  • Project groups
  • Device management
  • Dedicated infrastructure
  • Offline deployment options
  • HIPAA compliance/BAA execution
  • Custom contracting
  • Dedicated support engineer