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A Deep Learning–Based Rotten Food Recognition App for Older Adults: Development and Usability Study

A Deep Learning–Based Rotten Food Recognition App for Older Adults: Development and Usability Study

First, we collected pictures required for training the food classification model. We collected pictures of fresh and rotten apples, bananas, and oranges from Kaggle, a platform that provides preprocessed data sets to data scientists: 2088 pictures of fresh apples, 1962 pictures of fresh bananas, 1854 pictures of fresh oranges, 2943 pictures of rotten apples, 2754 pictures of rotten bananas, and 1998 pictures of rotten oranges (see Figure 2).

Minki Chun, Ha-Jin Yu, Hyunggu Jung

JMIR Form Res 2024;8:e55342

Assessment of Google Glass for Photographic Documentation in Veterinary Forensic Pathology: Usability Study

Assessment of Google Glass for Photographic Documentation in Veterinary Forensic Pathology: Usability Study

During the external inspection of the body, in accordance with the guidelines for forensic veterinary autopsies, pathologists were asked to take pictures of the external appearance of the animals from many different angles. Furthermore, during the necropsies, pictures of organs before and after extraction and any other detail useful for documentation purposes was acquired. All images were acquired under standard lighting conditions and without using the internal flash of the camera.

Giuseppe Piegari, Valentina Iovane, Vincenzo Carletti, Rosario Fico, Alessandro Costagliola, Davide De Biase, Francesco Prisco, Orlando Paciello

JMIR Mhealth Uhealth 2018;6(9):e180