Why does object detection result in multiple found objects?

Machine Learning & AI Core ML
Manuello OP
Created Jul ’20
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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:

  • 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.

Questions:

  • 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?

(Sorry for the cross-post, but it should really be possible to upload images here.)
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Why does object detection result in multiple found objects?
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