Update README.md

README.md

@@ -61,8 +61,11 @@ For an image resolution of NxM and P classes
 
 ## Metrics
 
+- Measures are done with default STM32Cube.AI configuration with enabled input / output allocated option.
+- `tfs` stands for "training from scratch", meaning that the model weights were randomly initialized before training.
+- `tl` stands for "transfer learning", meaning that the model backbone weights were initialized from a pre-trained model, then only the last layer was unfrozen during the training.
+- `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.
 
-Measures are done with default STM32Cube.AI configuration with enabled input / output allocated option.
 
 ### Reference **NPU** memory footprint on food-101 and ImageNet dataset (see Accuracy for details on dataset)
 |Model      | Dataset       | Format   | Resolution | Series    | Internal RAM | External RAM | Weights Flash | STM32Cube.AI version | STEdgeAI Core version |