<- Back to Datasets

Letter

Letter Recognition Data Set

Letter

Letter Recognition Data Set is a handwritten digit dataset. The task is to identify each of a large number of black-and-white rectangular pixel displays as one of the 26 capital letters in the English alphabet. The character images were based on 20 different fonts and each letter within these 20 fonts was randomly distorted to produce a file of 20,000 unique stimuli. Each stimulus was converted into 16 primitive numerical attributes (statistical moments and edge counts) which were then scaled to fit into a range of integer values from 0 through 15.

View this Dataset
->
UCI
https://www.uci.org
Task
Annotation Types
20000
Items
16
Classes
20000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
Label your own datasets on V7
Try our trial or talk to one of our experts.