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Food-101
2D Classification
许可协议: CC-BY-SA 4.0

Overview

Overview

An optimized folder structure for the Food-101 dataset, to effectively use the ImageDataGenerator class in Tensorflow

Data

The data is split into train-val in the ratio 9:1
Training folder contains 101 classes each containing 900 images
Validation folder contains 101 classes each containing 100 images

Acknowledgements

The dataset was downloaded from https://www.kaggle.com/kmader/food41
Original Source: https://www.vision.ee.ethz.ch/datasets_extra/food-101/

Inspiration

To build a high-accuracy food classifier

数据概要
数据格式
image,
数据量
100.999K
文件大小
596.31MB
发布方
2018A7PS0124G
| 数据量 100.999K | 大小 596.31MB
Food-101
2D Classification
许可协议: CC-BY-SA 4.0

Overview

Overview

An optimized folder structure for the Food-101 dataset, to effectively use the ImageDataGenerator class in Tensorflow

Data

The data is split into train-val in the ratio 9:1
Training folder contains 101 classes each containing 900 images
Validation folder contains 101 classes each containing 100 images

Acknowledgements

The dataset was downloaded from https://www.kaggle.com/kmader/food41
Original Source: https://www.vision.ee.ethz.ch/datasets_extra/food-101/

Inspiration

To build a high-accuracy food classifier

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