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π Khaled's Food Classifier (ResNet18)
This model classifies food images into 101 different categories ππ°π
Trained using PyTorch + ResNet18 on ~100k images from Food-101 dataset.
π§ Model Information
- Architecture: ResNet18
- Accuracy (Test): 62.04%
- Training Data: 75,750 images
- Test Data: 25,250 images
- Classes: 101 food categories
π How to Use
from huggingface_hub import hf_hub_download
import torch, torchvision
model_path = hf_hub_download("khaledb12s/food-classifier", "food_model.pth")
# π Khaled's Food Classifier (ResNet18)
This model classifies food images into **101 different categories** ππ°π
Trained using **PyTorch + ResNet18** on ~100k images from Food-101 dataset.
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## π§ 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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