MakeML Application

Yearly
Monthly
Base

Free

  • Dataset Import/Export
    (3 exports free)

     GPU Cloud Training
    (only one free)
Annotation

$
10

yearly per month

  • Dataset Import/Export
  • Dataset Augmentation
  • GPU Cloud Training
    (only one free)
Training

$
10

yearly per month

  • Dataset Import/Export
  • Dataset Augmentation
  • Unlimited GPU Cloud Trainings
    (max 5000 images per training)
Training+

$

yearly per month

  • Dataset Import/Export
  • Dataset Augmentation
  • Unlimited GPU Cloud Trainings
    (max 15000 images per training)
Training Pro
from

$
10

yearly per month

  • Dataset Import/Export
  • Dataset Augmentation
  • Unlimited GPU Cloud Trainings
    (on a dedicated instance)
Contact Us

Custom solution

Highly experienced MakeML Team will help you to create a custom Computer Vision solution and will help you to integrate it into your product. Our best competence is creating Computer Vision solution prototypes that you can test in your product. And we build them fast. Contact us to get more details!

Contact Us
Proof of Concept
from $999
  • Annotating up to 1000 images
  • Training a model and selecting the best hyperparameters
  • Analysis of what resources needed to make a production-ready solution
  • Mobile prototype / basic API that you can use for testing purposes
Consulting
Custom made production-ready solution for your business
What our Clients Say About Us
  • On collecting and processing data
    Fabien
    "I like the image labeling feature and the speed with which you improve it."
    Alex
    “If you add an automated labeling tool to your macOS app, I will buy 2 yearly subscriptions!”
  • On setup training pipeline
    Mark
    "The app itself, brilliant. Takes away a lot of complexity."
    Kevin
    "Your app made my life so much easier!"
  • On integration of a model
    @harrissonkolts, Reddit
    "I really want to Create ML models for mobile apps, and I think you will have no issue finding interested customers!"
    Tanner
    "I know plenty would be curious about learning how to create Object Detection CoreML models and being walked through."