The Food Recognition Benchmark: Using DeepLearning to Recognize Food on Images

Understand

The automatic recognition of food on images has numerous interesting applications, including nutritional tracking in medical cohorts.

• The problem has received significant research attention, but an ongoing public benchmark to develop open and reproducible algorithms has been missing.
• Here, we report on the setup of such a benchmark using publicly available food images sourced through the mobile MyFoodRepo app.
• Through four rounds, the benchmark released the MyFoodRepo-273 dataset constituting 24,119 images and a total of 39,325 segmented polygons categorized in 273 different classes.