Pricing Tiers and Features

Image Annotation

Team & Datasets

Unlimited Free Users
Admin, User, & Annotator Roles
Dataset Versioning
Storage
1,000 images free
10,000 images free
$0.01 / image
Free
Polygon Masks - DIY
1,000 per month
10,000 per month
$0.02 each
Free
Polygon Masks - V7 Annotators
From $0.12 each
From $0.12 each
From $0.12 each
From $0.12 each
Bounding Boxes - DIY
1,000 per month
10,000 per month
$0.02 each
Free
Bounding Boxes - V7 Annotators
From $0.05 each
From $0.05 each
From $0.05 each
From $0.05 each
Other annotation types - V7 Annotators
From $0.05 each
From $0.05 each
From $0.05 each
From $0.05 each
Auto-Annotate
Continuous learning
Annotation review
Custom metrics
Annotator performance monitoring
Plugins
Private cloud option

Model Training

On-Premise option
Neural Network Training
$12 / GPU hour
$12 / GPU hour
$12 / GPU hour
FREE

Model Deployment

Deployment and Inference
$4 / GPU hour
$1 / CPU hour
$4 / GPU hour
$1 / CPU hour
$4 / GPU hour
$1 / CPU hour
$4 / GPU hour
$1 / CPU hour

Support

Email support
Technical support
Custom invoicing

Sample Annotation Project pricing

Darwin's pricing is designed to grow as you scale. Let's take as an example a small image dataset of 10,000 images used for proof-of-concept development. Each image contains 10 objects needing to be annotated.

Unit Cost
Quantity
Total Cost
Image Storage
$0.01
10,000 images =
1,000
$100
Annotations - made in-house
$0.02
10 objects x 10,000 =
100,000
$2,000
Project Total (~2 weeks)
$2,100

Let's instead use as an example a medium-sized medical image dataset of 200,000 images. Each image contains one object needing to be annotated with a polygon mask using V7's annotators. This service includes quality review. A potential cost breakdown would be as follows:

Unit Cost
Quantity
Total Cost
Image Storage
$0.01
200,000 images =
200,000
$2,000
Annotations
$0.12
1 object x 200,000 =
200,000
$24,000
Project Total (1 month)
$26,000

Find out how V7 Darwin works

Darwin is V7's platform for building AI. When you create a V7 account, you will be able to start using Darwin to upload image data, annotate it, and train AI models. Find out how V7 Darwin works and how you can use it through various stages of your project, whether it is annotation, model training, or deployment.

Learn more about V7 Darwin