›Object Detection

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

Export dataset

  1. Press the “Export Dataset” button.

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  1. You can select a dataset type to which you want to export your dataset. There are four formats currently available for Object Detection dataset export: Turi Create (CSV), Pascal VOC (XML), COCO (JSON) and CreateML (JSON).

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  1. After you will press on export you will see Augmentation Screen. You can increase your dataset quality using MakeML's built-in augmentation. There are three types of augmentation: random crop, transformations of images and color adjustments. Using Augmentation you can increase quality of your dataset by increasing amount of images in your dataset.

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  1. Select a path where you want to save your dataset.

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  1. After dataset will have been exported we will receive a file with annotations (or folder with annotation files if you have chosen Pascal VOC (XML) format) and a folder with images from your dataset.

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