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@@ -19,3 +19,23 @@ configs:
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  - split: train
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  path: data/train-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - split: train
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  path: data/train-*
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  ---
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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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+
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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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+
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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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+
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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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+
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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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+ ```