Training Images for Vision Classifier Model - Swift Student Challenge

Machine Learning & AI Core ML
Alhwyn OP
Created Feb ’25
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I'm working on my Swift Student Challenge submission and developing a Vision framework-based image classifier. I want to ensure I'm following best practices for training data and follow to guidelines for what images I use to train my image classifier.

  1. What types of images can I use for training my model?
  2. Are there specific image databases or resources recommended by Apple that are safe to use for Swift Student Challenge submissions?

Currently considering images used from wikipedia, and my own images

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DTS Engineer OP
Apple
Feb ’25
Accepted Answer
Recommended

Hello Alhwyn,

We recommend following these guidelines to Gather Your Data for training an image classifier.

You're able to use your own images and any others not subject to copyright protection (which sometimes isn't clear so please reach out to the image provider if in doubt) for the challenge.

Apple doesn't provide a public image database for training models nor are we able to recommend a 3rd-party resource.

We do however provide trained Core ML Models for some well known image classifiers e.g. Resnet50. That said, you may find it helpful to consider Resnet50's training images when deciding how to train your own classifier.

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Training Images for Vision Classifier Model - Swift Student Challenge
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