RSMNYS

@freedomtan please share the info how to check the model accuracy for the Mobilenet V4. What dataset do I need to use, and if we have some specific steps to...

@freedomtan I've tried accuracy test for the CoreML backend, and TF backend for the Image Classification task v1, and v2. For each case it crashes after 100%. EXC_BAD_ACCESS (code=1, address=0x27c8)...

> @freedomtan I've tried accuracy test for the CoreML backend, and TF backend for the Image Classification task v1, and v2. For each case it crashes after 100%. EXC_BAD_ACCESS (code=1,...

Thanks, all works. For iPhone 14 Pro, I have the same 76.21%. Will try with the ImageNet V2 and different optimised models based on it.

All tests were done on iPhone 14 Pro | Model Name | Performance (QPS) | Accuracy (%) | Size, Mb| |-------------------------------------------------|-------------------|--------------| ----- | | MobilenetV4_Large.mlmodel | 268.58 | 81.82% |...

All tests were done on iPhone 14 Pro | Model Name | Performance (QPS) | Accuracy (%) | Size, Mb| |-------------------------------------------------|-------------------|--------------| ----- | | MobilenetV4_Large.mlmodel | 294.85 | 81.2% |...

@freedomtan can you point please where we can get the MobileNet V4 PyTorch model. As currently we have only tf lite one.

@colbybanbury can you please tell us if you use mlmodel or mlpackage CoreML models in your tests?

Here are the basic steps we need to follow up to submit the app: 1. Create a Developer Account 2. Sign the App with a Release Key: - [x] Use...

Hi guys! We need screenshots with such sizes: Based on this: https://developer.apple.com/help/app-store-connect/reference/screenshot-specifications 6.5": iPhone 14 Plus iPhone 13 Pro Max iPhone 12 Pro Max iPhone 11 Pro Max iPhone 11...