🕊️ KalapatiBreed-Classifier-Tagalog

Model Description

Ang KalapatiBreed-Classifier-Tagalog ay isang AI image classification model na ginawa upang makilala ang iba’t ibang breed ng kalapati (pigeon) gamit ang larawan.
Layunin ng model na ito na makatulong sa mga pigeon breeders, hobbyists, estudyante, at AI learners sa pagkilala ng lahi ng kalapati gamit ang computer vision.

Ang model ay may Tagalog-based documentation upang maging mas madaling gamitin ng mga Filipino users.

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Supported Pigeon Breeds

• Racing Homer
• King Pigeon
• Fantail
• Tumbler
• Lahore
• Jacobin
• Modena
• Archangel
• Oriental Frill
• Birmingham Roller

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Intended Use

Maaaring gamitin para sa:

• Educational AI projects
• Image classification demos
• Pigeon breed identification
• Learning reference sa Hugging Face

Hindi inirerekomenda para sa:

• Professional breeding certification
• Veterinary or medical diagnosis

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Model Details

• Task: Image Classification
• Domain: Computer Vision
• Input: Larawan ng kalapati (JPEG / PNG)
• Output: Predicted pigeon breed
• Framework: PyTorch / TensorFlow

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Training Information

• Trained gamit ang labeled images ng iba’t ibang breed ng kalapati
• Standard image preprocessing (resize, normalization)
• Fine-tuned para sa common pigeon breeds

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Limitations

• Posibleng bumaba ang accuracy kapag:
  • Halo ang lahi ng kalapati
  • Mababa ang kalidad ng larawan
  • Hindi kasama ang breed sa supported list

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Ethical Considerations

• Ginawa lamang para sa educational at experimental use
• Hindi dapat gamitin bilang kapalit ng professional advice

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License

MIT License

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Author

Jomarie Atadero

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Acknowledgements

Salamat sa open-source AI community at sa mga contributors na tumulong sa pag-develop ng image classification models.