In the Tensorflow 2 Object Detection API model ZOO, there is 7 versions of the EfficientDet:


Being new to deep learning, I don't understand very well what is the difference and how to choose the best one for my application (detecting buildings from satellite imagery). I haven't been able to find much info on this online.

Question: How do these differ and how does one decide which one to choose?


1 Answer 1


Each of the networks have different architectures. You can see the architectures of each on page 6 of the original paper.

Some rough generalizations are:

  • The lower numbered versions works best with low resolution images and the higher ones.
  • The lower ones are faster, but less accurate.
  • The lower ones requires less compute power than the higher ones.

So it's a trade-off that one will have to make depending on the use-case.


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