Research Article
Accurate Detection and Tracking of Small-Scale Vehicles in High-Altitude Unmanned Aerial Vehicle Bird-View Imagery
Table 1
Main parameters adopted in the training experiment.
| Parameters | Value and unit |
| Input size | 768 × 768 pixel | Training epochs | 300 | Warm-up epochs | 5 | Number of classes | 3 | Batch size | 16 | Optimizer | SGD | Scheduler | Warm-up + cosine annealing | Initial learning rate | 0 | Minimum learning rate ratio | 0.05 | Momentum | 0.9 | Weight decay | 5e − 4 | Detection threshold | 0.01 | IoU threshold for softer NMS | 0.65 | No augmentation epochs | 30 |
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