Simulating Personal Food Consumption Patterns using a Modified Markov Chain. (arXiv:2208.06709v1 [cs.CV])

Food image classification serves as the foundation of image-based dietary
assessment to predict food categories. Since there are many different food
classes in real life, conventional models cannot achieve sufficiently high
accuracy. Personalized classifiers aim to largely improve the accuracy of food
image classification for each individual. However, a lack of public personal
food consumption data proves to be a challenge for training such models. To
address this issue, we propose a novel framework to simulate personal food
consumption data …

arxiv cv food markov patterns