A Fine-Grained Long-Tail Distribution Food Image Classification Model with Attention Mechanism

The fine-grained food image classification is a challenging task due to the presence of long-tail distributions in food categories, which results in imbalanced datasets. This imbalance will lead to biased models that underperform on rare classes, thereby affecting the model’s robustness and accuracy