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README.md

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+---
+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

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