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Dragoneye

Dragoneye is a computer vision platform designed to democratize access to advanced image and video recognition technologies. It enables developers to build and deploy custom models tailored to their specific use cases without the need for coding or data labeling. By automating the entire process from model specification to deployment, Dragoneye eliminates the traditional complexities associated with computer vision development.

1 APIs 0 Features
Artificial IntelligenceComputer VisionImage RecognitionVideo RecognitionMachine Learning

APIs

Dragoneye API

The Dragoneye API provides programmatic access to custom and prebuilt computer vision models for image and video recognition. Developers can classify images, detect objects, and...

Resources

🔗
Website
Website
💰
Pricing
Pricing
📰
Blog
Blog
🔗
Documentation
Documentation
👥
GitHubOrganization
GitHubOrganization

Sources

apis.yml Raw ↑
aid: dragoneye
name: Dragoneye
url: >-
  https://raw.githubusercontent.com/api-evangelist/dragoneye/refs/heads/main/apis.yml
description: >-
  Dragoneye is a computer vision platform designed to democratize access to
  advanced image and video recognition technologies. It enables developers to
  build and deploy custom models tailored to their specific use cases without
  the need for coding or data labeling. By automating the entire process from
  model specification to deployment, Dragoneye eliminates the traditional
  complexities associated with computer vision development.
type: Contract
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
  - Artificial Intelligence
  - Computer Vision
  - Image Recognition
  - Video Recognition
  - Machine Learning
access: 3rd-Party
position: Consuming
created: '2025-03-01T00:00:00.000Z'
modified: '2026-04-28'
specificationVersion: '0.19'
apis:
  - aid: dragoneye:dragoneye
    name: Dragoneye API
    description: >-
      The Dragoneye API provides programmatic access to custom and prebuilt
      computer vision models for image and video recognition. Developers can
      classify images, detect objects, and run custom-trained models via a
      REST interface using either the Python or Node.js SDK.
    tags:
      - Artificial Intelligence
      - Computer Vision
      - Image Recognition
      - Video Recognition
    humanURL: https://docs.dragoneye.ai
    properties:
      - url: https://docs.dragoneye.ai
        type: Documentation
      - url: https://docs.dragoneye.ai/quick-start
        type: GettingStarted
      - url: https://github.com/dragoneye-ai
        type: GitHubOrganization
common:
  - type: Website
    url: https://dragoneye.ai
    name: Dragoneye
  - type: Pricing
    url: https://dragoneye.ai/pricing
    name: Pricing
  - type: Blog
    url: https://dragoneye.ai/blog
    name: Blog
  - type: Documentation
    url: https://docs.dragoneye.ai
    name: Documentation
  - type: GitHubOrganization
    url: https://github.com/dragoneye-ai
    name: GitHub Organization
maintainers:
  - FN: Kin Lane
    email: [email protected]