Research Article
Fruits Classification and Detection Application Using Deep Learning
Table 4
F1 score for all 30 classes in the VGG model for the FIDS-30 dataset.
| Class names | F1 scores |
| Acerolas | 0.57 | Apples | 1 | Apricots | 0.40 | Avocados | 0.89 | Bananas | 0.89 | Blackberries | 0.89 | Blueberries | 1 | Cantaloupes | 0.89 | Cherries | 0.86 | Coconuts | 1 | Figs | 0.89 | Grapefruits | 1 | Grapes | 0.80 | Guava | 0.57 | Kiwifruit | 1 | Mangos | 0.67 | Olives | 1 | Oranges | 0.67 | Passion fruit | 0.67 | Peaches | 0.86 | Pears | 1 | Pineapples | 0.75 | Plums | 0.86 | Pomegranates | 1 | Raspberries | 0.57 | Strawberries | 1 | Tomatoes | 1 | Watermelons | 1 | Lemons | 0.92 | Limes | 0.67 |
|
|