DeepQ AI Platform
DeepQ AI Platform
  • πŸ‘‹Welcome to DeepQ AI Platform!
  • Overview
    • πŸ’‘What is DeepQ AI Platform?
    • ✨Our Features
    • 🎁Whats new?
  • Product Guides
    • πŸ‘οΈβ€πŸ—¨οΈNavigation
      • 🧱Modules
      • πŸ‘©β€πŸ«User Profile
    • πŸ“DeepCap (Image Annotation Module)
      • πŸ–ΌοΈDataset(s)
      • πŸ“Annotation Projects
      • πŸ–ŒοΈAnnotation Jobs
    • πŸ–₯️AI Training
      • πŸ–ΌοΈDataset(s)
      • βš™οΈTraining Tasks
      • 🧠Models
  • Use Cases
    • πŸ§‘β€πŸ€β€πŸ§‘Roles & Plans
    • ⬆️Upload & Manage Image Data
      • Data Formats
      • Combine Datasets
    • πŸ‘¨β€πŸ«Create & Run Annotation Project
      • Create Annotation Project
        • Annotation Quality Control
      • Manage/View Annotation Project
      • Advanced Tips
    • πŸ§‘β€βš•οΈAnnotate/Review Images
      • Basic Annotation
      • Advanced Annotation Tips
    • πŸ‘¨β€πŸ”¬Train/Test AI Model
      • Create Training Task
        • General Training
        • Specialized Training
        • Existing Model Retraining
      • Manage/View Training Task
        • Training Insight Reports
      • View/Test Models
        • Inference Insight Reports
      • Advanced Tips
  • Tutorial Videos
    • πŸ› οΈBasic operations
    • πŸ”©Advanced Operations
  • Misc
    • ⁉️Troubleshooting & FAQs
    • πŸ“”Changelogs
      • V3.0
      • V3.0.2.1
    • πŸ“–Legal Documents
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  • Roles in an AI project
  • Plans
  1. Use Cases

Roles & Plans

Roles in an AI project

The different roles in an deep learning project is explained below:

  • Project Owner: The owner of an annotation project & training task. He/ She can upload, create and manage datasets, annotation projects, and training tasks.

  • Reviewer: Assigned by the project owner to review the labeling results pass down by annotators.

  • Annotator: Assigned by the project owner to annotate the data.

Role
Project owner
Reviewer
Annotator

Responsibilities

Create and manage: >Datasets >Annotation projects

>Training tasks >Models

review the labeling results pass down by annotators.

Annotate images according to instructions in annotation project

Authorized modules

DeepCap AI Training

DeepCap

DeepCap

Plans

Discover the perfect solution for your needs with our versatile product, offering two distinct plans tailored to meet your requirements. Our dual-plan approach ensures that you get precisely what you need. Elevate your experience and choose the plan that aligns perfectly with your goals, unlocking a world of possibilities for both personal and professional success.

  • Standard Plan. Designed for individuals who are interested in learning the basics of Deep Learning in Medical Imaging.

  • Business Plan. For teams that are tasked to develop Deep Learning applications for academic & business purposes, delivering advanced functionalities and expanded capabilities, ensuring seamless collaboration and heightened productivity.

The main difference of these two plans are listed in the table:

Items
Standard Plan
Business Plan

Additional annotator /reviewer accounts

X

O

Annotation quality check

X

O

GPU-hours*

350

1000

Training GPU specs

low-end

high-end (NV V100 or better)

Training GPU

Shared (Queue)

Dedicated (No-Waiting)

Storage space

5GB

500GB

Download Model

X

O

Specialized Training

X

O

Model zoo

Select

Full

*Additional GPU hours can be purchased, unused GPU-hours will expire along with your account.

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Last updated 1 year ago

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