A Pytorch implementation of the paper Food Ingredients Recognition through Multi-label Learning: https://arxiv.org/abs/1707.08816
Dataset: https://www.kaggle.com/kmader/food41 (Food101)
ingredient-detection-data-processing-food101.ipynb: Cleans and pre-processes the dataset.
ingredient-detection-food-101.ipynb: Implements a fine-tuned ResNet50 for multi-label computer vision classification.
Achieved a comparable F1 of score of 0.78 (78).