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README.md
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license: apache-2.0
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```python
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Prediction metrics: {'test_loss': 0.5863810181617737, 'test_model_preparation_time': 0.0029, 'test_accuracy': 0.8992497193832338, 'test_runtime': 1005.4898, 'test_samples_per_second': 84.173, 'test_steps_per_second': 10.522}
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Accuracy: 0.8992
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if __name__ == "__main__":
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iface.launch()
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```
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license: apache-2.0
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# **Bird-Species-Classifier-526**
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> **Bird-Species-Classifier-526** is an image classification vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for a single-label classification task. It is designed to classify different bird species using the **SiglipForImageClassification** architecture.
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```python
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Prediction metrics: {'test_loss': 0.5863810181617737, 'test_model_preparation_time': 0.0029, 'test_accuracy': 0.8992497193832338, 'test_runtime': 1005.4898, 'test_samples_per_second': 84.173, 'test_steps_per_second': 10.522}
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Accuracy: 0.8992
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if __name__ == "__main__":
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iface.launch()
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```
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# **Intended Use:**
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The **Bird-Species-Classifier-526** model is designed to classify different bird species based on images. Potential use cases include:
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- **Wildlife Conservation:** Identifying and tracking bird species for ecological research.
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- **Birdwatching & Education:** Assisting enthusiasts and researchers in species identification.
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- **Environmental Monitoring:** Detecting changes in bird populations as indicators of ecosystem health.
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- **AI-Powered Assistants:** Supporting AI-based species recognition for various applications.
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