Food Categories Recognition API


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Using AI custom model, recognize basic food category from an input photo with certain probability.

Food Categories Recognition API - Foodivisus (also known as Food Categories detection API) is a cross browsers REST API which get a JSON input with a still photo (as base64 encoded string) or an url of the image and returns a JSON string which contains predictions with certain amount of probability (filtered for output with minimum 20%), which contain the basic Organic Food Categories (breads, cereals, cheese, eggs, fat meat, fish, fruits, greens, lean meat, milk, noodles, nuts, pasta, poultry, rice, sea fruits, vegetables, yogurt) each of it based on the detected food category from the input photo. If the probability of prediction is under 20% then these info are not shown. This API is optimized for raw / fresh / frozen products as they are sold on the market.

Allthough this Food Categories Recognition API (currently we do not offer a Food Categories recognition sdk) is intended for software development and therefore developers, we have also here a Food Categories detection online application that may be used to check the input and output JSONs of the API.

The necessary steps are written below, basically for this real time Food Categories detection or recognition API you send an authorized POST request in JSON format to the API endpoint and you get as JSON response the output as described below through parameters and examples.

This Food Categories Recognition API is useful for a large number of domains like: owners or administrators of food e-commerce websites, professionals, nutritionists, students, researchers, developers, food manufacturers and distributors, food retailers etc.You own the commercial copyright of the resulted JSON with no additional fee meaning you may use it in your own apps for sale.

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