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kamera-linux/
german-bird-classifier

Name: german-bird-classifier
Rating: 2.5 (6 reviews)

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⚠️ DEPRECATED - Use v2 for Better Accuracy

This is version 1 of the German Bird Classifier with 87.69% accuracy.

Please use german-bird-classifier-v2 instead:

✅ 99.71% accuracy (vs. 87.69% in v1)

✅ 42× fewer errors

✅ Perfect classification for 5 out of 8 species

This v1 model will remain available for compatibility but is no longer actively maintained.

accuracy model-index:
name: german-bird-classifier results:
- task: type: image-classification name: Image Classification metrics:
  - type: accuracy value: 100.0 name: Test Accuracy

German Bird Classifier 🐦

A fine-tuned EfficientNet-B0 model for classifying 8 common German garden bird species with 100% validation accuracy.

Model Description

This model was trained using vogel-model-trainer, a toolkit for creating bird classification models from video footage.

Base Model: google/efficientnet-b0 (8.5M parameters)
Fine-tuned for: German garden birds classification
Training Framework: PyTorch + Hugging Face Transformers

Supported Species

The model can classify the following 8 bird species:

Blaumeise (Blue Tit) - Cyanistes caeruleus
Grünling (European Greenfinch) - Chloris chloris
Haussperling (House Sparrow) - Passer domesticus
Kernbeißer (Hawfinch) - Coccothraustes coccothraustes
Kleiber (Eurasian Nuthatch) - Sitta europaea
Kohlmeise (Great Tit) - Parus major
Rotkehlchen (European Robin) - Erithacus rubecula
Sumpfmeise (Marsh Tit) - Poecile palustris

Performance

Species	Validation Accuracy	Samples
Blaumeise	100.0%	5
Grünling	100.0%	5
Haussperling	100.0%	5
Kernbeißer	100.0%	5
Kleiber	100.0%	5
Kohlmeise	100.0%	5
Rotkehlchen	100.0%	5
Sumpfmeise	100.0%	5
Overall	100.0%	40

Usage

With vogel-model-trainer

bash

# Install the toolkit
pip install vogel-model-trainer

# Extract birds from video using this classifier
vogel-trainer extract --folder ~/bird-data \
  --species-model kamera-linux/german-bird-classifier \
  --sample-rate 20 --skip-blurry --deduplicate \
  video.mp4

With Python

python

from transformers import AutoImageProcessor, AutoModelForImageClassification
from PIL import Image
import torch

# Load model and processor
model = AutoModelForImageClassification.from_pretrained("kamera-linux/german-bird-classifier")
processor = AutoImageProcessor.from_pretrained("kamera-linux/german-bird-classifier")

# Load and preprocess image
image = Image.open("bird.jpg")
inputs = processor(images=image, return_tensors="pt")

# Predict
with torch.no_grad():
    outputs = model(**inputs)
    logits = outputs.logits
    predicted_class = logits.argmax(-1).item()

# Get species name
species = model.config.id2label[predicted_class]
print(f"Predicted species: {species}")

Training Details

Training Date: November 13, 2025
Optimizer: AdamW with cosine LR schedule
Augmentation: Random rotation, affine, color jitter, gaussian blur
Regularization: Weight decay 0.01, label smoothing 0.1
Early Stopping: 7 epochs patience
Input Size: 224x224 pixels
Batch Size: 32
Learning Rate: 2e-5

Dataset

The model was trained on custom-collected video footage of German garden birds using the vogel-model-trainer toolkit:

Video sources: Garden bird feeders in Germany
Extraction method: YOLO-based bird detection + quality filtering
Data split: 80% training / 20% validation
Preprocessing: Blur detection, deduplication, class balancing

Limitations

Trained specifically on German garden birds - may not generalize to other species or regions
Best performance on clear, well-lit images similar to training data
May struggle with:
- Juvenile birds with different plumage
- Birds in flight or unusual poses
- Heavy occlusion or poor lighting
- Species not in the 8 training classes

Ethical Considerations

This model is intended for:

Wildlife monitoring and conservation
Educational purposes
Citizen science projects
Automated bird feeder cameras

Not recommended for:

Commercial wildlife tracking without proper permits
Any use that could harm bird populations

Citation

If you use this model, please cite:

bibtex

@software{german_bird_classifier_2025,
  author = {Kamera Linux},
  title = {German Bird Classifier},
  year = {2025},
  url = {https://huggingface.co/kamera-linux/german-bird-classifier},
  note = {Trained with vogel-model-trainer: https://github.com/kamera-linux/vogel-model-trainer}
}

License

This model is released under the Apache License 2.0. See the LICENSE file for details.

Acknowledgments

Built with:

kamera-linux/german-bird-classifier