I've created a project in Azure Custom Vision (Object Detection, General Compact, Tier S0). I uploaded about 70 images, 35 images per tag then started training my model.
Checked tags in the Iterations screen after training (Quick Training) was done. For my surprise, only 7 images were tested per tag.
Tried to run Advanced Training for 1 hour. Nothing has changed. Only 7 images per tag were tested.
Am I doing something wrong?
Is there a way to use all images for object detection training so it can give me a better accuracy?
Thanks, +ftex
What you are seeing in the test interface after the training is only a part of the total images because these metrics are calculated using k-fold cross validation.
You are not doing something wrong. It would not be logic to test all the images because it would mean testing with your training images.
To have a better accuracy, there's no magic: add more images, relevant to your use-case