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Food and Ingredient Recognition using Multilabel learning

Published on the November 23, 2020 in IT & Programming

About this project

Open

I need a recognition algorithm to recognize food and its ingredients. I have the food and ingredient datasets. Currently i have develop a recognition model but it is still single label.
I use hog to extract the features and linear SVC as the classifier. I have the data in excel of the extracted feature using hog. I need someone to continue develop the model using multi label learning.
Attached are the 10 categories of image that i used. Later i will give you the files as i have problem to attach it here.

Project overview

i need the recognition model to be deployed in mobile application

Category IT & Programming
Subcategory Apps programming. Android, iOS and others
What is the scope of the project? Small change or bug
Is this a project or a position? Project
I currently have I have specifications
Required availability As needed
Required platforms Android
I need to Modify an existing app
App type Other
Back-end is required Yes
Payment gateway No

Delivery term: December 20, 2020

Skills needed

Android iPhone Python Responsive Web Design

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