metadata
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Sample001
'1': Sample002
'2': Sample003
'3': Sample004
'4': Sample005
'5': Sample006
'6': Sample007
'7': Sample008
'8': Sample009
'9': Sample010
'10': Sample011
'11': Sample012
'12': Sample013
'13': Sample014
'14': Sample015
'15': Sample016
'16': Sample017
'17': Sample018
'18': Sample019
'19': Sample020
'20': Sample021
'21': Sample022
'22': Sample023
'23': Sample024
'24': Sample025
'25': Sample026
'26': Sample027
'27': Sample028
'28': Sample029
'29': Sample030
'30': Sample031
'31': Sample032
'32': Sample033
'33': Sample034
'34': Sample035
'35': Sample036
'36': Sample037
'37': Sample038
'38': Sample039
'39': Sample040
'40': Sample041
'41': Sample042
'42': Sample043
'43': Sample044
'44': Sample045
'45': Sample046
'46': Sample047
'47': Sample048
'48': Sample049
'49': Sample050
'50': Sample051
'51': Sample052
'52': Sample053
'53': Sample054
'54': Sample055
'55': Sample056
'56': Sample057
'57': Sample058
'58': Sample059
'59': Sample060
'60': Sample061
'61': Sample062
splits:
- name: train
num_bytes: 73956435.184
num_examples: 6136
- name: validation
num_bytes: 18902272.208
num_examples: 1564
download_size: 95517369
dataset_size: 92858707.392
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
task_categories:
- image-classification
language:
- en
pretty_name: Chars74k
size_categories:
- 1K<n<10K
Chars74k
The "Good" subset of the "English" subset of the Chars74k dataset split into training and validation sets.
The validation set was created to match the label distribution of the training set.
62 classes (0-9, A-Z, a-z)
Dataset page: https://teodecampos.github.io/chars74k/
Paper describing the dataset:
https://www.semanticscholar.org/paper/Character-Recognition-in-Natural-Images-Campos-Babu/dbbd5fdc09349bbfdee7aa7365a9d37716852b32
5 images where removed due to poor quality.
Lable distribution:
