Automate visual content moderation, image tagging, and product discovery with powerful AI-driven APIs designed for developers and high-growth businesses.
Dragoneye
Build custom computer vision models in seconds using plain English text instead of manual training data. Perfect for developers needing instant object detection.
Paid only
Price not published
About Dragoneye
Dragoneye is a Vision AI platform designed to simplify the process of object detection and image classification. Unlike traditional computer vision workflows that require massive datasets, manual annotation, and lengthy training cycles, Dragoneye leverages zero-shot AI models. This allows users to define what they want to detect using simple English descriptions rather than thousands of labeled examples. By removing the barrier of training data, the platform enables developers to move from a concept to a functional vision model in a matter of seconds. The tool operates through a flexible API and a user-friendly Playground environment. Users can either start from scratch with custom text prompts or utilize pre-configured Model Templates for common categories like animals, food, vehicles, and electronics. Integration is streamlined via dedicated Python and Node.js SDKs, allowing for programmatic video and image processing. The platform handles the heavy lifting of model deployment and scaling, providing prediction results that include classification and detection data for both static images and video streams. Dragoneye is primarily built for software developers, product teams, and data scientists who need to integrate visual intelligence into their applications without the overhead of maintaining specialized AI infrastructure. It is particularly useful for projects where the objects of interest may change frequently or where gathering a large training dataset is impractical. Common use cases range from inventory management and traffic monitoring to content moderation and automated media tagging. What distinguishes Dragoneye from traditional CV providers is its emphasis on zero-shot capabilities and speed. While many platforms require users to upload hundreds of labeled images before a single prediction can be made, Dragoneye is ready to use immediately. The pricing model is also developer-friendly, offering a usage-based approach with a low entry barrier, including $10 in free credits to test the capabilities in the playground before committing to production-level scaling.
Dragoneye pros & cons
Pros
- No training data or manual labeling required for instant deployment.
- Supports both image and video processing through a unified API.
- Provides $10 in free credits to new users for testing purposes.
- Integration is simplified with dedicated Python and Node.js packages.
- Offers specialized templates for animals, food, vehicles, and electronics.
Cons
- Video processing costs scale proportionally with frame rate, making high-FPS analysis expensive.
- Bespoke model finetuning is restricted to the Scaled tier and is currently in Beta.
Dragoneye use cases
- Software developers can integrate object detection into apps by describing items in plain English, bypassing data collection.
- Retail operations managers can use video processing to monitor inventory or traffic cones in parking lots using pre-built templates.
- Content moderators can quickly deploy models to detect specific electronics or restricted items in user-uploaded media.
- Wildlife researchers can utilize the Animal template to automate the identification of species in field camera footage.
- Mobile app developers can leverage the Node.js SDK to add real-time image recognition features to their software.
Dragoneye features
- pre-configured model templates
- interactive playground environment
- image classification and detection
- variable fps video processing
- node.js sdk integration
- python sdk integration
- plain english text prompts
- zero-shot ai models
Dragoneye pricing
Is Dragoneye free? No, Dragoneye doesn't offer a free plan.
Pay-as-you-go
Price varies
- $10 free credits upon signup
- Interactive predictions in playground
- Build custom models in plain English
- Model Templates access
- Python and Node SDK usage
- $0.046 per minute of video (1fps)
- $0.005 per image
Scaled
Price varies
- Everything in Pay-as-you-go
- Volume pricing discounts
- Bespoke model finetuning (Beta)
- Priority support
Dragoneye FAQs
How does the $10 upfront credit work?
When you sign in to the Dragoneye Playground for the first time, you automatically receive $10 in credits. This allows you to start using the API and testing models immediately without any initial payment.
How is video processing cost calculated?
Pricing is based on video duration and the selected frame rate. The base rate of $0.046 per minute applies to 1 FPS; processing at higher rates like 30 FPS will increase the cost proportionally.
What's included in the Scaled tier?
The Scaled tier provides volume-based discounts for high-usage customers. It also includes access to bespoke model finetuning currently in Beta and priority support for technical issues.
Do credits expire?
No, credits are non-refundable but they never expire. This allows developers to use their balance at their own pace for various projects without worrying about time limits.
What happens when my credits are depleted?
Once your credits run out, you can add more to your account via the Settings page in the Playground. This ensures you maintain full control over your project spending.
Ratings & reviews
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