Deep Learning for Food Recognition

Published 2020-03

Deep learning is being used to identify food for a number of reasons: to help computers have more robust conversations with us about the content and origin of what we’re eating, to calculate the number of calories in a dish, and to spot spoiled or tainted food.

Source

Verdict

persistedThe same trend is listed again within the publisher's next two editions (D33).

Same subject listed again in 2021.

A trend is graded on whether the publisher keeps it, never as a hit or a miss (D6, D33).

The same forecast in other editions

2017rank 146
2020rank 245
2021rank 483
2022rank 510

All captured fields

rank: 245
section: AgTech & Global Supply of Food
subject: Deep Learning for Food Recognition
page: 228
confidence: medium
note: Title from the contents list in the SlideShare transcript of the publisher upload; order and section from contents page numbers. Quote added 2026-10-02 from the full slide transcript of the publisher upload (SlideShare, Wayback capture of the newer page format); source_url points at the section that holds the page.