Research Article
Fruits Classification and Detection Application Using Deep Learning
Table 3
F1 score for all 30 classes in the ResNet50 model for the FIDS-30 dataset.
| Class names | F1 scores |
| Acerolas | 0.80 | Apples | 0.60 | Apricots | 0.50 | Avocados | 1 | Bananas | 0.89 | Blackberries | 1 | Blueberries | 0.80 | Cantaloupes | 0.80 | Cherries | 1 | Coconuts | 1 | Figs | 0 | Grapefruits | 1 | Grapes | 0.86 | Guava | 0.67 | Kiwifruit | 1 | Mangos | 1 | Olives | 1 | Oranges | 0.80 | Passion fruit | 1 | Peaches | 0.75 | Pears | 1 | Pineapples | 1 | Plums | 0.86 | Pomegranates | 1 | Raspberries | 0.80 | Strawberries | 0.80 | Tomatoes | 0.80 | Watermelons | 0.89 | Lemons | 0.86 | Limes | 1 |
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