›Semantic Segmentation

Image Classification

  • Projects
  • Data Preparation
  • Training and testing
  • Running Model on device

Object Detection

  • Projects
  • Import images
  • Import dataset
  • Export dataset
  • Markup images
  • Augmentation
  • Training
  • Recognizing objects in live stream iOS App
  • Recognizing objects in still images iOS App

Semantic Segmentation

  • Projects
  • Import images
  • Export Dataset
  • Markup images
  • Augmentation
  • Training
  • Semantic Segmentation in live stream iOS App

Terms of use

  • Terms of use
  • Privacy Notice

Projects

On the project page, you can create different types of projects oriented to your tasks, as well as manage them.

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  1. Create a Dataset Project.

A Dataset Project type will suit you if you want to just create or edit your dataset for further use. To create a Semantic Segmentation Dataset project you need to press a button called "Create a new Dataset Project". Read More →

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At the pop-up screen, you need to enter a project name and select a Semantic Segmentation Dataset Type. Then just press the "Create" button and your Dataset project will be ready.

  1. Create a MakeML Project.

A MakeML Project type will suit you if you want to create or edit your dataset and then train a model using it. To create a MakeML Semantic Segmentation Dataset project you need to press a button called "Create a new MakeML Project". Read More →

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At the pop-up screen, you need to enter a project name and select a Semantic Segmentation Dataset Type. In current version we have Tensorflow training configuration for We recommend using Tensorflow configuration.

  1. Trainings list.

There you can track the status, get the result of your training and download your model. Read More →

  1. Project list.

In the Project List, you can open, delete, view information of previously created projects. You can also see the type of project, the number of imported pictures. Read More →

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If you click on three points in the selected projects, you can delete it.

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