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