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πŸ” Khaled's Food Classifier (ResNet18)

This model classifies food images into 101 different categories πŸ•πŸ°πŸœ
Trained using PyTorch + ResNet18 on ~100k images from Food-101 dataset.


🧠 Model Information

  • Architecture: ResNet18
  • Accuracy (Test): 62.04%
  • Training Data: 75,750 images
  • Test Data: 25,250 images
  • Classes: 101 food categories

πŸš€ How to Use

from huggingface_hub import hf_hub_download
import torch, torchvision

model_path = hf_hub_download("khaledb12s/food-classifier", "food_model.pth")

# πŸ” Khaled's Food Classifier (ResNet18)

This model classifies food images into **101 different categories** πŸ•πŸ°πŸœ  
Trained using **PyTorch + ResNet18** on ~100k images from Food-101 dataset.

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## 🧠 Model Information
- **Architecture:** ResNet18  
- **Accuracy (Test):** 62.04%  
- **Training Data:** 75,750 images  
- **Test Data:** 25,250 images  
- **Classes:** 101 food categories
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