chriamue/bird-species-classifier
image-classification model by chriamue
From the publisher
Model card & documentation
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The "Bird Species Classifier" is a state-of-the-art image classification model designed to identify various bird species from images. It uses the EfficientNet architecture and has been fine-tuned to achieve high accuracy in recognizing a wide range of bird species. You can easily use the model in your Python environment with the following code: The model was trained on the "Bird Species" dataset, which is a comprehensive collection of bird images. Key features of this dataset include: The model achieved impressive results after 6 epochs of training: These metrics indicate a high level…
Read the full model card ↗ · Preview checked 2026-11-12T07:35:22.545Z
Inside the original model card — Document outline
- Model Card for "Bird Species Classifier"
- Model Description
- How to Use
- Applications
- Training Data
- Training Results
- Limitations and Bias
- Ethical Considerations
- Acknowledgements
- See also
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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
chriamue/bird-species-classifier is a image-classification model repository published by chriamue on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-classification
- Library
- transformers
- Recent downloads (30 days)
- 91,528
- Cumulative likes
- 28
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 8,508,287
- Architecture
- EfficientNetForImageClassification
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2023-11-05T13:22:14.000Z
- Last modified
- 2026-10-09T09:35:53.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-14T07:03:47.819Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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