On 1,658 images of six African foods, a fine-tuned ResNet50 and an SVM using raw pixels both reach about 81 percent accuracy, with SVM slightly ahead on macro F1.
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An Explorative Analysis of SVM Classifier and ResNet50 Architecture on African Food Classification
On 1,658 images of six African foods, a fine-tuned ResNet50 and an SVM using raw pixels both reach about 81 percent accuracy, with SVM slightly ahead on macro F1.