Hello,
I'm interested in utilizing smart assistants for a survey I am developing. The application is pretty specific, but I think well suited. I want to count specific objects in an image, I'm looking at smart attributes functionality.
I am preparing to train and test a model, I understand it is best to have a large body of training imagery, but I have a question about the type of training images.
Is it better in training to have very focused, subject only images? Or more realistic images?
What I mean by that is if I wanted to train a model to identify stop signs from a picture of a busy street would it be best to train on images of busy streets, or focused images of the target (the stop sign).
Additionally would it be possible to transfer learning from a model like "Common Object Detection" to add additional objects? I'm not sure if that would be a valuable path to take since the images I will be using are quite specific and unique.
Appreciate any help or advice.
Hi @beachcampbeachcamp,
Thank you for interesting in smart assistants! Below are some insights regarding your use case, and I hope you find them helpful.
Feel free to ask any additional questions you may have without hesitation!
Best,
Borui