---
license: agpl-3.0
language:
- en
datasets:
- nyuuzyou/planespotting
base_model:
- Ultralytics/YOLO11
library_name: ultralytics
pipeline_tag: object-detection
---
# 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 variant
- `YOLO11l`: Large variant
- `YOLO11x`: 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 metrics
- `last.pt`: Final model weights after completing all training epochs