MyFood Dataset
Introduced by Freitas et al. in MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring
MyFood Dataset is an image database for segmenting images of Brazilian foods. Composed of 9 classes: rice, beans, boiled egg, fried egg, pasta, salad, roasted meat, apple and chicken breast. With an average of 125 images per class and a total of 1250 images, with a ratio of 60-20-20 for the training, validation and testing sets, respectively.
Papers
| Paper | Code | Results | Date | Stars |
|---|
