paper-with-me

Food-101

홈페이지 · 논문 805편

The Food-101 dataset consists of 101 food categories with 750 training and 250 test images per category, making a total of 101k images. The labels for the test images have been manually cleaned, while the training set contains some noise. Source: Combining Weakly and Webly Supervised Learning for Classifying Food Images Image Source: https://data.vision.ee.ethz.ch/cvl/datasets_extra/food-101/

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벤치마크

Fine-Grained Image Classification on Food-101 결과 30개
Prompt Engineering on Food-101 결과 13개
Image Classification on Food-101 결과 11개
Neural Architecture Search on Food-101 결과 10개
Learning with noisy labels on Food-101 결과 6개
Zero-Shot Transfer Image Classification on Food-101 결과 5개
Multimodal Text and Image Classification on Food-101 결과 4개
Few-Shot Learning on food101 결과 2개
Zero-Shot Learning on Food-101 결과 2개
Document Text Classification on Food-101 결과 1개
Image Clustering on Food-101 결과 1개
Image Compression on Food-101 결과 1개
Transductive Zero-Shot Classification on Food-101 결과 1개