Everything you need to build and deploy computer vision models, from automated annotation tools to high-performance deployment solutions.
Roboflow is praised for its user-friendly interface and powerful capabilities in streamlining computer vision projects, making it accessible for both beginners and advanced users. Some users, however, have expressed concerns about occasional technical glitches and limited customization options. The pricing is generally seen as fair, but there are mentions of wishing for more flexible pricing tiers to better cater to diverse project sizes. Overall, Roboflow maintains a strong reputation for its efficiency and impact within the computer vision community.
Mentions (30d)
0
Reviews
0
Platforms
1
GitHub Stars
36,807
3,160 forks
Roboflow is praised for its user-friendly interface and powerful capabilities in streamlining computer vision projects, making it accessible for both beginners and advanced users. Some users, however, have expressed concerns about occasional technical glitches and limited customization options. The pricing is generally seen as fair, but there are mentions of wishing for more flexible pricing tiers to better cater to diverse project sizes. Overall, Roboflow maintains a strong reputation for its efficiency and impact within the computer vision community.
Features
Use Cases
Industry
information technology & services
Employees
110
Funding Stage
Series B
Total Funding
$62.1M
4,605
GitHub followers
156
GitHub repos
36,807
GitHub stars
20
npm packages
40
HuggingFace models
Pricing found: $60/mo, $79, $99, $99, $130/mo
Repository Audit Available
Deep analysis of roboflow/supervision — architecture, costs, security, dependencies & more
Pricing found: $60/mo, $79, $99, $99, $130/mo
Key features include: Dataset Management, Model Training, Support, Designed for developers., Built with the industry standard open source libraries., Built with industry standard open source libraries..
Roboflow is commonly used for: Image classification for e-commerce product categorization, Object detection in autonomous vehicle systems, Medical image analysis for disease diagnosis, Facial recognition for security systems, Augmented reality applications for interactive experiences, Agricultural monitoring using drone imagery.
Roboflow integrates with: TensorFlow, PyTorch, Keras, OpenCV, AWS S3, Google Cloud Storage, Microsoft Azure, Slack, Jupyter Notebooks, GitHub.
Roboflow has a public GitHub repository with 36,807 stars.