Datasets:
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README.md
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- split: train
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path: data/train-*
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- split: train
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path: data/train-*
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---
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# UEC-Ramen555
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https://mm.cs.uec.ac.jp/UEC-Ramen555/
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## Dataset Info
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UEC-Ramen555 is a ramen image dataset that has 555 ramen images. Each image has segmentation mask of ramen attributes.
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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.
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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.
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## Citation
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```bibtex
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@inproceedings{ramenasyoulike2019,
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title={Ramen as You Like: Sketch-based Food Image Generation and Editing},
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author={Cho, Jaehyeong and Shimoda, Wataru and Yanai, Keiji},
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booktitle={ACM International Conference on Multimedia},
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year={2019}
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}
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```
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