Model Card for Planespotting-YOLO11
Model Summary
This dataset contains the results of fine-tuning YOLO11 models (n, s, m, l, x variants) on the Planespotting Dataset for aircraft detection, specifically for detecting aircraft in amateur photography taken with ordinary smartphones or low-quality airport cameras. The model was trained to detect aircraft on approach (often appearing as small dots in the sky) as well as aircraft at closer ranges.
Model Details
Model Variants
The fine-tuning was performed on multiple YOLO11 variants:
YOLO11n: Nano variant (smallest, fastest)YOLO11s: Small variant'YOLO11m: Medium variantYOLO11l: Large variantYOLO11x: Extra large variant (largest, most accurate)
Training Configuration
- Image Size: 640 pixels
- Epochs: 100
- Training Split: 9,885 images
- Validation Split: 93 images
- Object Classes: 1 (aircraft)
Weights
The fine-tuned model weights are provided in the weights directory:
best.pt: Best model weights according to validation metricslast.pt: Final model weights after completing all training epochs
