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Hey @exenGT , You're right, there are a few errors in the original dataset (Food-101) as well as the subsets I've created (I didn't change any original labels). This is a common issue for larger scale datasets. It's hard to make sure every single label in a dataset is correct. For example, ImageNet may have 1,000s of incorrect labels, see here: https://labelerrors.com/ There are tools like |
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It's interesting to find out that the image pizza_steak_sushi/test/pizza/2508636.jpg shows a hamburger and some fries instead of a pizza:
Which makes me wonder if there are any other wrongly labeled images out there in this dataset...
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