Hi! I’m working on an app that would calculate scores by pointing the camera at a target face
I have 102 images labeled like this: 8-10-10.jpg (scores from top to bottom) and I was wondering what would be the best approach to train a model.
- Should I “cut” each image into 3 for each arrow or should it “learn” from the whole target with 3 arrows? (so total 306 images)
- If my model is capable of calculating a score from a single target image, is it possible to apply that model to a 3-target image?
- I also want the model to return the approximate arrow “coordinates” relative to the center of a target. Will I need to “annotate” each image with hit coordinates?
- Most of the images have results ranging from 10 to 8. Does it mean that the model won’t be able to recognize a 6 or 7?
Appreciate any help