Model Export Validation Report

Generated: 2026-04-10 15:58:06 | Test images: 964 | 9 classes | Formats: Keras, TFLite, TFLite-fp16

1. Overall Comparison

2. Per-class F1 Comparison

3. Prediction Agreement

4. Per-Format Details

Keras

File: BestModelEfficientNetLite.keras | Size: 5.3 MB | Accuracy: 0.8558 | F1(W): 0.8564 | Speed: 5.4s (179.7 img/s)

Class	Precision	Recall	F1	Support
Baked Potato	0.8495	0.7900	0.8187	100
Burger	0.8977	0.7453	0.8144	106
Crispy Chicken	0.7917	0.9048	0.8444	105
Donut	0.8268	0.9367	0.8783	158
Fries	0.9294	0.7596	0.8360	104
Hot Dog	0.9318	0.8200	0.8723	100
Other	0.9481	0.9733	0.9605	150
Pizza	0.8904	0.7927	0.8387	82
Sandwich	0.6190	0.8814	0.7273	59

TFLite

File: exports/tflite/model.tflite | Size: 0.5 MB | Accuracy: 0.8475 | F1(W): 0.8477 | Speed: 3.7s (257.1 img/s)

Class	Precision	Recall	F1	Support
Baked Potato	0.8941	0.7600	0.8216	100
Burger	0.8966	0.7358	0.8083	106
Crispy Chicken	0.7422	0.9048	0.8155	105
Donut	0.8054	0.9430	0.8688	158
Fries	0.9186	0.7596	0.8316	104
Hot Dog	0.9294	0.7900	0.8541	100
Other	0.9474	0.9600	0.9536	150
Pizza	0.8313	0.8415	0.8364	82
Sandwich	0.6575	0.8136	0.7273	59

TFLite-fp16

File: exports/tflite/model_float16.tflite | Size: 0.8 MB | Accuracy: 0.8537 | F1(W): 0.8543 | Speed: 2.7s (355.9 img/s)

Class	Precision	Recall	F1	Support
Baked Potato	0.8478	0.7800	0.8125	100
Burger	0.8977	0.7453	0.8144	106
Crispy Chicken	0.7851	0.9048	0.8407	105
Donut	0.8305	0.9304	0.8776	158
Fries	0.9294	0.7596	0.8360	104
Hot Dog	0.9318	0.8200	0.8723	100
Other	0.9359	0.9733	0.9542	150
Pizza	0.8904	0.7927	0.8387	82
Sandwich	0.6190	0.8814	0.7273	59