🇨🇲 Cameroon Meals Classifier
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A PyTorch image classification model trained to identify 37 traditional Cameroonian meals using a ResNet34 backbone.
🍽️ Classes (37 meals)
- Pepper Soup
- Kati Kati and Njama Njama
- Koki Beans
- Mbongo Tchobi
- Dodo
- Soya
- Chin-Chin
- Groundnut Soup
- Sese Plantains
- Okra Soup
- Puff Puff
- Beignet Haricot
- Egusi Soup
- Yassa Chicken
- Meat Pie
- Kwacoco Bible
- Kondre
- Roasted Plantain and Plum
- Banga Soup
- Ekwang
- Bobolo
- Black Soup
- Cornchaff
- Accra Banana
- Egusi Pudding
- Poulet DG
- Sangah
- Banane Malaxée
- Hot Pot Potatoes
- Groundnut Sweet
- Fish Roll
- Garri with Groundnuts
- Eru
- Ndolé
- Achu
- Jollof Rice
🧠 Model Details
- Backbone: ResNet50
- Framework: PyTorch
- Format:
model_weights.pth - Custom class:
CameroonMealsModel(seemodeling.py)
🚀 Usage
from transformers import AutoModel
import torch
model = AutoModel.from_pretrained("paulinusjua/cameroon-meals", trust_remote_code=True)
model.eval()
# Example forward (x: a batch of image tensors)
logits = model(x)
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