Contribute your knowledge on our FoodBank!
To understand the dietary intake, a photo based dietary tracking app is developed at NUS NExT Research Center. The app has shown to be a promising tool for clinical nutrition research and diabetics self-management related research. The photo based food recognition has proven to be a convenient way of tracking and analyzing food and nutrition intake, where the accuracy of the deep learning model and the coverage of food types is a key factor that determines the usability of app and thus influences the scale of analysis.
We are looking for people to contribute and update new food images for our research.
Requirement:
-able to commit at least 4 hours a week for long term annotators. We do accept one-time walk-in participants during 7 May- 25 May 9:00am-6:00pm.
-Live in Singapore
-Have a PayNow account
-Work will be carried out at our lab (ICUBE Building 02-02-09)
Benefit:
Remuneration will be paid out for each completed task. The final amount will be sent electronically to you via your PayNow-linked mobile phone number.
$15 per 150 images crawled (equivalent to 1 hour)
$15 per 250 images checked (equivalent to 1 hour)
You will be paid on the spot after your work is submitted and checked.
Apply:
Interested applicants kindly fill in the google form and we will contact you shortly.
https://goo.gl/forms/EDUGBmTsperObNwc2
If you have any further questions, please send an email to
[email protected]
