3 Replies
      Latest reply on Sep 6, 2019 5:44 AM by Claude31
      sdkfjdslfjdsklfjdslkfjdskljfld Level 1 Level 1 (0 points)

        I am trying to train a model using the create ml app to do object detection on approximately 10 different classes (ultimately). Here is what I have done so far, with corresponding results:


        1. train 1 class with approx. 50 images. results in excellent object detection, and a model size of approx 65 MB

        2. train 2 classes, one with approx. 150 images, the other with 50 images. results in very good object detection and a model size of approx. 65 MB

        3. train 6 classes, one with approx 50 images, the rest with 150 or more images, a total of approx. 3000 images. results in varying qualitys of object detection from very good to very poor. the model size is still approx. 65 MB.


        Here are my questions:

        1. why is the model size the same regardless of complexity, number of images, and number of classes

        2. is there some parameters that I can change to allow the output to be larger and more precise?

        3. how many images should I have for each class?

        4. do I have to label every instance of each class in each image?