Table 3.
Precision, recall, F1-score for each class and macro avg, weighted avg for the model
| Class_name | Precision | Recall | F1-score |
| Water_element | 1 | 1 | 1 |
| Flower | 1 | 1 | 1 |
| Flower_field | 1 | 1 | 1 |
| Kiosk_and_pergola | 1 | 1 | 1 |
| Building | 1 | 1 | 1 |
| Fitness_equipment | 1 | 0.9 | 1 |
| Sports_field | 0.9 | 1 | 1 |
| Grass_field | 1 | 0.9 | 0.9 |
| Riding | 1 | 0.9 | 0.9 |
| Selfi_and_portrait | 1 | 0.9 | 0.9 |
| Track | 1 | 0.9 | 0.9 |
| Event | 0.9 | 1 | 0.9 |
| Iconic_tree | 0.9 | 1 | 0.9 |
| Lawn_square | 0.9 | 1 | 0.9 |
| Playground | 0.9 | 1 | 0.9 |
| Trail | 0.9 | 1 | 0.9 |
| Bird | 0.9 | 0.9 | 0.9 |
| Sculpture | 0.9 | 0.9 | 0.9 |
| Woodland | 0.9 | 0.9 | 0.9 |
| Picnic | 1 | 0.8 | 0.9 |
| Dog_walking | 0.8 | 0.9 | 0.9 |
| Accuracy | - | - | 0.9 |
| Macro avg | 0.9 | 0.9 | 0.9 |
| Weighted avg | 0.9 | 0.9 | 0.9 |