metadata
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': letter
'1': form
'2': email
'3': handwritten
'4': advertisement
'5': scientific report
'6': scientific publication
'7': specification
'8': file folder
'9': news article
'10': budget
'11': invoice
'12': presentation
'13': questionnaire
'14': resume
'15': memo
splits:
- name: train
num_bytes: 978826386
num_examples: 8000
- name: test
num_bytes: 124139952
num_examples: 992
download_size: 1039947220
dataset_size: 1102966338
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
task_categories:
- image-classification
- image-text-to-text
language:
- en
pretty_name: Ryerson Vision Lab Complex Document Information Processing)
size_categories:
- 1K<n<10K
rvl-cdip-document-classification
This dataset is created from original aharley/rvl_cdip dataset using this notebook
Dataset Summary
This dataset consists of 8992 grayscale images in 16 classes, with 562 images per class. There are 8000 training images(500 image per class) and 992 test images(62 images per class). The images are sized so their largest dimension does not exceed 1000 pixels.