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Create Object Detection and Segmentation ML models without Code

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Quick guide to Machine Learning on Mobile
MakeML Tutorials is a place where you can learn how to create an AI app or solve a business problem using Computer Vision in a couple of hours.
Deploy Tensorflow Serving
Learn how to create an object detection server with your custom neural network.
Full tutorial
Segmentation TFLite Tutorial
Learn how to create an app that will detect number of touches of the ball.
Full tutorial
Stamps Object Detection Tutorial
Learn how you can create an app that finds the most expensive postage stamp on a flea market.
Full tutorial
Stamps Object Detection Tutorial
Learn how you can fire up a candle without fire using Machine Learning and AR.
Full tutorial
Segmentation TFLite Tutorial
Learn how you can create a popular app that allows users to try on any nail polish color instantly.
Full tutorial
Segmentation TFLite Tutorial
Learn how Pepsi Co uses Computer Vision to sort potatoes on their chips assembly lines and saves 11m$ annually.
Full tutorial

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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."

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