In this article. we consider a version of the challenging problem of learning from datasets whose size is too limited to allow generalisation beyond the training set. To address the challenge. we propose to use a transfer learning approach whereby the model is first trained on a synthetic dataset replicating features of the original objects. https://www.vesaers.shop/product-category/foods/