I looked at the codebase in detail, I don’t think the incremental training will work without major changes in the API. Best bet is to use the non-lite version of Tensor Flow and make a non-lite model and then convert that to TFLITE model - I haven’t tried it myself so I don’t know what hurdles await there. Overall, given my recent experience with TensorFlow Lite Model Maker, I think the API is quite poor (just like the non-lite version) and the documentation is misleading or wrong in places. The configurations do not have reasonable defaults (Shuffle is False for example), Augmentation is not well documented and reading the code it seems like it has random crop for example which may just leave out the subject from the image and cause false examples, as another example. It seems like the forum complaints do not affect any change with the authors of the API at Google. Given this, I am will probably switch to some other API.