jessjohn/food_images

该数据集主要用于图像分类任务，包含20种不同的印度食物图像及其对应的标签。数据集分为训练集和测试集，训练集有5328个样本，测试集有941个样本。每个样本包含一个图像和一个分类标签，标签涵盖了从汉堡到萨莫萨等多种食物。

This dataset is primarily used for image classification tasks, containing images of 20 different Indian foods and their corresponding labels. The dataset is divided into a training set and a test set, with 5328 samples in the training set and 941 samples in the test set. Each sample includes an image and a classification label, covering a variety of foods from burgers to samosas.

原始信息汇总

数据集概述

特征

• image: 图像数据
• label: 标签数据
  • 类别标签:
    • 0: burger
    • 1: butter_naan
    • 2: chai
    • 3: chapati
    • 4: chole_bhature
    • 5: dal_makhani
    • 6: dhokla
    • 7: fried_rice
    • 8: idli
    • 9: jalebi
    • 10: kaathi_rolls
    • 11: kadai_paneer
    • 12: kulfi
    • 13: masala_dosa
    • 14: momos
    • 15: paani_puri
    • 16: pakode
    • 17: pav_bhaji
    • 18: pizza
    • 19: samosa

数据集分割

• train:
  • 样本数量: 5328
  • 数据大小: 1359804649.2954335 字节
• test:
  • 样本数量: 941
  • 数据大小: 226971219.3925666 字节

数据集大小

• 下载大小: 1601742544 字节
• 数据集大小: 1586775868.6880002 字节

配置

• default:
  • 数据文件路径:
    • train: data/train-*
    • test: data/test-*