UEC-Ramen555

https://mm.cs.uec.ac.jp/UEC-Ramen555/

Dataset Info

UEC-Ramen555 is a ramen image dataset that has 555 ramen images. Each image has segmentation mask of ramen attributes.

The semantic mask consists of 11 classes of pixel-level semantic labels that are manually annotated. And 5 additional soup category label annotations are included.

The ramen image semantic label contains semantic labels for the background, bowl, soup, spoon, chopsticks and toppings (e.g. half-cut egg, seaweed, sliced roast pork, etc.). Soup category labels include salt soup, soy sauce soup, miso soup, pork bone soup and spicy soup.

Citation

@inproceedings{ramenasyoulike2019,
  title={Ramen as You Like: Sketch-based Food Image Generation and Editing},
  author={Cho, Jaehyeong and Shimoda, Wataru and Yanai, Keiji},
  booktitle={ACM International Conference on Multimedia},
  year={2019}
}