Hi! I did the same in the first run, this tutorial is using TF 2.8 which is not supported by the device, the highest supported version of the TFlite is 2.3 on gen2 cameras and 2.5 on gen3 (it didn't worked for me), and standard EFDet outputs are different than Meraki expected. Check this docs: model training: https://developer.cisco.com/codeexchange/github/repo/Francisco-1088/merakiCustomCvDemo , model conversion https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/running_on_mobile_tf2.md , about Outputs: https://www.tensorflow.org/lite/examples/object_detection/overview.   Let me know if you succeed!   br, Kris ... View more

Hey! I had same issue, finally I've trained mobile ssd_mobilenet_v2 with tf 1.15 version, and it worked unfortunately it was not possible to train efficient det, but it may be if you will change hyper parameters in terms of the input and output from the network. The TF version needs match to the version supported by the camera gen, you need to check it first. Good luck! ... View more