What is Dragoneye?
Dragoneye provides a simplified approach to computer vision, enabling users to build custom models tailored to specific needs. The platform eliminates the complexities of traditional model development, requiring no coding, labeling, or extensive setup. It offers a streamlined experience for rapid prototyping, customization, and deployment.
Deployment is managed and optimized for ultra-low latency across various scales. Access is provided through Python and Node packages, and a REST API, ensuring quick integration into existing workflows.
Features
- No-code model building: Build computer vision models without writing any code.
- No labeling required: Eliminate the need for manual data labeling.
- Customizable models: Tailor models to specific use cases with ease.
- Fast prototyping: Develop and test models within minutes.
- Managed deployment: Benefit from optimized deployment for low latency.
- API Access: Integrate via Python, Node.js packages, or REST API.
Use Cases
- Recognizing animals in images
- Identifying different types of beverages
- Classifying various building structures
- Detecting fashion items and styles
- Analyzing food items
- Categorizing footwear
- Recognizing furniture types
- Analyzing screenshot contents
- Identifying plant species
- Classifying sports equipment and activities
- Recognizing office supplies
- Identifying tools
- Categorizing vehicles
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