I am trying to use ESP32 Cam for classifying the images (Stop or Ok lables).
Project - https://studio.edgeimpulse.com/studio/79307
After capturing images ( QVGA 320 x 240 - Negative effect style images) given good distinguished features -
But when model is trained its accuracy is not up to the mark , what would be missing in this case ?
Any help would be highly appreciated 
-Atul
@atyadav you have only 53 items, I will recommend to increase images and introduce 3rd label images as “none” images which contain images which are not “ok” and “stop” images and will act as background subtractors or in simpler terms will increase accuracy in transfer learning.
I hope this helps.
@AnshumanFauzdar - Yes I also added third label , but that did not help. But have to add few more images.
@atyadav increasing images will definitely increase your accuracy and do model testing with test data and verify results!
