MAKEML

makeml-logo

MakeML is built to make training process easy to setup. It is designed to handle data sets, training configurations, markup and training process. All in one place.

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MAKEML

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Industry:
Artificial Intelligence Developer Tools Machine Learning

Founded:
2019-01-20

Address:
Minsk, Minsk, Belarus

Country:
Belarus

Website Url:
http://www.makeml.app

Total Employee:
1+

Status:
Active

Email Addresses:
[email protected]

Technology used in webpage:
Viewport Meta IPhone / Mobile Compatible SSL By Default Google Font API Google Analytics LetsEncrypt Google Tag Manager Content Delivery Network Google Universal Analytics Global Site Tag


Current Employees Featured

alexey-korotkov_image

Alexey Korotkov
Alexey Korotkov CEO & Co-founder @ MakeML
CEO & Co-founder
2019-01-25

alexander-kartsev_image

Alexander Kartsev
Alexander Kartsev CTO & Co-founder @ MakeML
CTO & Co-founder

Founder


alexander-kartsev_image

Alexander Kartsev

alexey-korotkov_image

Alexey Korotkov

Official Site Inspections

http://www.makeml.app Semrush global rank: 8.27 M Semrush visits lastest month: 344

  • Host name: 199.59.243.227
  • IP address: 199.59.243.227
  • Location: United States
  • Latitude: 37.751
  • Longitude: -97.822
  • Timezone: America/Chicago

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More informations about "MakeML"

MakeML - Crunchbase Company Profile & Funding

MakeML is built to make training process easy to setup. It is designed to handle data sets, training configurations, markup and training process. All in one place.See details»

makeml-app/Live-Object-Recognition-CoreML - GitHub

With MakeML you can prepare dataset and train CoreML model with Tensorflow or Turi Create frameworks in one application. See the Tutorial for the training object detection model without …See details»

MakeML Company Profile 2024: Valuation, Funding & Investors

Information on valuation, funding, cap tables, investors, and executives for MakeML. Use the PitchBook Platform to explore the full profile.See details»

MakeML - Products, Competitors, Financials, Employees, …

MakeML operates as a company focused on simplifying the creation of object detection and semantic segmentation neural networks for users without the need for coding, operating within …See details»

Creating an Object Detection App with MakeML and Skafos.ai

In this post, we will talk about two tools that help you get to a working skeleton without diving too into the weeds, MakeML and Skafos.ai. We will briefly explore a dog breed identifier app...See details»

Train a MobileNetV2 + SSDLite Core ML model for object …

Apr 17, 2024 · In this article, we’ve learned how to train and use a MobileNetV2 + SSDLite model for object detection on iOS using MakeML, which allows you to train Core ML models without …See details»

Train and Ship a Core ML Object Detection Model for iOS in 4 …

Apr 17, 2024 · I’m going to show you how I trained an object detection Core ML model that can identify my guitar and amplifier with the use of the MakeML App. You can download the …See details»

MakeML’s Automated Video Annotation Tool for Object Detection …

Dec 14, 2023 · MakeML’s Automated Video Annotation Tool allows you to annotate objects in the first frame of a video, and then an object tracking algorithm will track an object in a video, and …See details»

MakeML - easy way to build your Machine Learning model

Jul 12, 2021 · With MakeML you can create Object Detection and Segmentation ML models without Code. Click to see the website: https://makeml.app/Follow me if you re into Te...See details»

GitHub - makeml-app/road_signs: An example of app that detects …

It is a repository for an iOS app that allows to detect different road signs (pedestrian crossing, stop, traffic light and speed limits). It's written in Swift, uses Object Detection Neural Network …See details»

Nails Semantic Segmentation iOS App Tutorial - Medium

Feb 5, 2020 · To do this, we’ll use the MakeML app. You can download MakeML here, and learn more about it on their website. Open MakeML app and create a new MakeML project. Select …See details»

GitHub - makeml-app/classification: iOS project example that can …

MakeML is a Developer Tool for Creating Object Detection and Segmentation Neural Networks without a Line of Code. It's built to make the training process easy to setup. It is designed to …See details»

MakeML - Product Information, Latest Updates, and Reviews 2024 ...

Mar 7, 2019 · MakeML is an easy to use MacOS app for iOS devs, who want to try out machine learning in their apps. The app is made in a way that no Python development nor data scientist …See details»

Computer Vision Dataset Store by MakeML - YouTube

Here is a video about Dataset Store by MakeML. You can find and use a dataset you need on our website here: https://makeml.app/datasets. To create a project ...See details»

MakeML - YouTube

This is a channel about MakeML app, which helps iOS developers to create Object Detection CoreML Models with easeSee details»

makeml-app/MakeML-Candle-CoreML-ARKit - GitHub

MakeML is a Developer Tool for Creating Object Detection and Segmentation Neural Networks without a Line of Code. It's built to make the training process easy to setup. It is designed to …See details»

Introducing the Create ML App - WWDC19 - Apple Developer

The new Create ML app provides an intuitive workflow for model creation. See how to train, evaluate, test, and preview your models quickly in this easy-to-use tool. Get started with one of …See details»

Create ML Overview - Machine Learning - Apple Developer

Experience an entirely new way of training machine learning models on your Mac. Create ML takes the complexity out of model training while producing powerful Core ML models.See details»

GitHub - makeml-app/MakeML-Nails: MakeML nails is an app …

MakeML is a Developer Tool for Creating Object Detection and Segmentation Neural Networks without a Line of Code. It's built to make the training process easy to setup. It is designed to …See details»

What Is the Create ML Framework? - Better Programming

May 21, 2020 · At the end of the day, Create ML is an easy and effective way to create simple ML models for use in iOS and macOS products. It requires no coding to create the model itself …See details»