|
|
--- |
|
|
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](https://huggingface.co/datasets/aharley/rvl_cdip) dataset using [this notebook](https://colab.research.google.com/drive/1CuER4BrT8uQj0nlPX0Fcek_zYqyaOvGA?usp=sharing) |
|
|
|
|
|
## 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. |
