Image Classification
FBAGSTM commited on
Commit
93b47e2
·
verified ·
1 Parent(s): a3ddfd1

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +3 -1
README.md CHANGED
@@ -64,7 +64,9 @@ For an image resolution of NxM and P classes :
64
  # Performances
65
 
66
  ## Metrics
67
- Measures are done with default STM32Cube.AI configuration with enabled input / output allocated option.
 
 
68
 
69
  ### Reference **NPU** memory footprint on food-101 dataset (see Accuracy for details on dataset)
70
  |Model | Format | Resolution | Series | Internal RAM (KiB) | External RAM (KiB) | Weights Flash (KiB)| STM32Cube.AI version | STEdgeAI Core version |
 
64
  # Performances
65
 
66
  ## Metrics
67
+ * Measures are done with default STM32Cube.AI configuration with enabled input / output allocated option.
68
+
69
+ * `tfs` stands for "training from scratch", meaning that the model weights were randomly initialized before training.
70
 
71
  ### Reference **NPU** memory footprint on food-101 dataset (see Accuracy for details on dataset)
72
  |Model | Format | Resolution | Series | Internal RAM (KiB) | External RAM (KiB) | Weights Flash (KiB)| STM32Cube.AI version | STEdgeAI Core version |