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# Model Card for Animal Species Identification

<!-- Provide a quick summary of what the model is/does. -->
This model performs animal species identification in images using an ensemble of pre-trained deep learning models, including VGG, MobileNet, DenseNet, and EfficientNet.

## Model Details

### Model Description
This model ensemble has been trained to identify the presence of animals in images and, if present, classify them into specific species.

- **Model type:** Ensemble of deep learning models
- **Language(s) (NLP):** Python
- **License:** MIT

### Model Sources

- **Repository:** https://github.com/disisvm/EcoSentry
- **Demo [optional]:** [Link to the demo]

## Uses

### Direct Use

This model can be directly used for predicting the presence of animals in images and, if present, identifying their species.

### Downstream Use [optional]

The model can be fine-tuned for specific tasks or integrated into larger applications for animal species identification.

### Out-of-Scope Use

The model may not work well for non-animal images or may provide inaccurate results for images with low confidence scores.

## Bias, Risks, and Limitations

The model's performance may be influenced by biases in the training data. It may struggle with images that differ significantly from the training set. The confidence threshold for species identification may impact the model's accuracy.

### Recommendations

Users should be aware of the model's limitations and biases. Fine-tuning for specific use cases may be necessary to achieve optimal performance.