Photos have been taken from the restaurant of my former company.
Disclaimer: all the photos in my dataset are NOT under licence or NDA. They were given to me by the restaurant adminitration after a lawyer approval.
Each photo contains a meal tray with various objects on it. Each photo was taken from the same point of view four times : when the "photo kiosk" detects a meal tray, it captures 4 photos to cover the time spent by the employee to place his meal tray correctly.
Each meal tray contains various objects that I labelised with www.cvat.org (www.cvat.ai now). Since the labelisation process is time-consumming, I labelised only about 480 images, feel free to increase this number!
Objects are boxed with rectangles discribe by relative informations : coordinates of the box center, height and width. All are relative to the image size. Each rectangle belongs to a specific category among :
- Plate (the main dish)
- Starter
- Dessert
- Bread
- Yogurt
- Fruit
- Drink (soda can, juice can, water bottle...)
- Cheese (yes, it's a french meal tray, what did you expect ?)
