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.
Responsibilities
Create and manageοΌ >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:
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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