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README.md
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## Metrics
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Measures are done with default STM32Cube.AI configuration with enabled input / output allocated option.
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### Reference **NPU** memory footprint on food-101 and ImageNet dataset (see Accuracy for details on dataset)
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## Metrics
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* Measures are done with default STM32Cube.AI configuration with enabled input / output allocated option.
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* `fft` stands for "full fine-tuning", meaning that the full model weights were initialized from a transfer learning pre-trained model, and all the layers were unfrozen during the training.
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### Reference **NPU** memory footprint on food-101 and ImageNet dataset (see Accuracy for details on dataset)
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