I trained an object detector with CreateML and when I test the model in CreateML, I get a high number of identified objects:
See screenshot:
https://stackoverflow.com/questions/62818892/why-does-obect-detection-result-in-multiple-found-objects
Notes:
See screenshot:
https://stackoverflow.com/questions/62818892/why-does-obect-detection-result-in-multiple-found-objects
Notes:
The model was trained on a small data set of ~30 images with that particular label face-gendermale occuring ~20 times.
Each training image has 1-3 labelled objects.
There are 5 label total.
Is that expected or is there something wrong with the model?
If this is expected, how should I evaluate these multiple results or even count the number of objects found in the model?
