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Custom video detection models in less than 5 minutes
Dragoneye helps devs build their custom video detection models in less than 5 minutes. These models can then be used to power apps and features that use images and videos. No more arduous process of annotating any training data or doing any machine learning work themselves. Try out our demo today at https://playground.dragoneye.ai/ !
Dragoneye enables building and deploying custom AI models for image and video analysis rapidly, with no training data required. It emphasizes zero-shot detection, instant deployment, and drop-in SDKs to ship predictions in minutes.
Users create custom detection models by describing items in plain English. The platform generates zero-shot models, deploys them instantly without infrastructure maintenance, and provides drop-in Python/Node SDKs for predicting on videos and images. Pricing is pay-as-you-go (usage-based) with credits on signup and volume pricing tiers; models can be built via a web playground and templates, with API access and SDKs to integrate into applications.
Who it’s for: Developers, startups, and small teams who need rapid, no-data-required vision AI for image/video detection and prototyping.
Mentions of a Playground, API/SDKs, pricing tiers, and beta bespoke model finetuning; YC-backed reference implied by the site text
Building computer vision so every app can see the world. ex-Jane Street, ex-Facebook, UPenn Physics and CS
We automate the entire process for building computer vision, allowing developers to get custom vision recognition models from just a model spec.
Dragoneye enables developers to create and use computer vision models by specifying a model spec; the platform automatically selects an implementation, builds the model, and maintains it to stay up-to-date, without requiring users to provide training data or perform CV/ML work. They announce a self-service access sign-up.
From the original launch (Mar 2024) — may be outdated.
Analyze any footage, without training a model
A Unified Editor For AI Video
