Mozilla/docornot

---
license: other
dataset_info:
features:
- name: image
dtype: image
- name: is_document
dtype:
class_label:
names:
'0': 'no'
'1': 'yes'
splits:
- name: train
num_bytes: 3747106867.2
num_examples: 12800
- name: test
num_bytes: 468388358.4
num_examples: 1600
- name: validation
num_bytes: 468388358.4
num_examples: 1600
download_size: 4682888903
dataset_size: 4683883584.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
---

The `DocOrNot` dataset contains 50% of images that are pictures, and 50% that are documents.

It was built using 8k images from each one of these sources:

- RVL CDIP (Small) - https://www.kaggle.com/datasets/uditamin/rvl-cdip-small - license: https://www.industrydocuments.ucsf.edu/help/copyright/
- Flickr8k - https://www.kaggle.com/datasets/adityajn105/flickr8k - license: https://creativecommons.org/publicdomain/zero/1.0/

It can be used to train a model and classify an image as being a picture or a document.

Source code used to generate this dataset : https://github.com/mozilla/docornot

原始信息汇总

数据集概述

数据集信息

• 特征:

  • image: 图像数据
  • is_document: 分类标签，表示是否为文档
    • 标签名称:
      • 0: no
      • 1: yes

• 数据分割:

  • train:
    • 字节数: 3747106867.2
    • 样本数: 12800
  • test:
    • 字节数: 468388358.4
    • 样本数: 1600
  • validation:
    • 字节数: 468388358.4
    • 样本数: 1600

• 数据大小:

  • 下载大小: 4682888903
  • 数据集大小: 4683883584.0

配置

• 默认配置:
  • 数据文件路径:
    • train: data/train-*
    • test: data/test-*
    • validation: data/validation-*

数据集描述

• DocOrNot 数据集包含50%的图像为普通图片，50%为文档图片。
• 数据集构建使用了以下来源的8k张图像:
  • RVL CDIP (Small)
  • Flickr8k
• 该数据集可用于训练模型，以分类图像为普通图片或文档图片。