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🍼 BossBaby Decaf - Face Recognition Model
Few-shot learning model to distinguish between "B or not B" - identifying if cartoon faces resemble Anix (B) but are not actually him.
🎯 Purpose
- B Classification: Cartoon faces that look like Anix
- Not B Classification: Other faces/cartoons
- Few-shot Learning: Minimal training data required
🚀 Live Demo
🔗 Hugging Face Space: https://huggingface.co/spaces/anixlynch/bossbaby-decaf
📊 Model Architecture
- Base Model: CLIP ViT-B/32
- Training Method: Few-shot learning
- Classes: B (Anix-like), Not B (Others)
- Input: Cartoon/face images
🛠️ Usage
from transformers import pipeline
classifier = pipeline("image-classification", model="anixlynch/bossbaby-decaf")
result = classifier("cartoon_face.jpg")
print(result)
📈 Performance
- Accuracy: TBD
- Training Samples: Minimal (few-shot)
- Inference Time: <1s per image
🤝 Dataset
Contains cartoon faces and reference images for few-shot learning demonstration.
📝 License
MIT License - see LICENSE file for details.
🔗 Links
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