Key facts
Contents & fields
The dataset contains 85 classes of handwritten character and word samples collected from 50 students, covering various writing styles. No field-level description is publicly available on the source page.
Research uses
Suitable for handwritten text recognition, character classification, pattern recognition, and other machine learning and computer vision research.
This card was drafted from the source page; institution, coverage, time span, scale, fields and license are subject to the official page (pending human review).
Keywords
Why this is hard to get on your own
Handwriting recognition datasets often lack diversity; this dataset increases writing style variation by collecting from multiple students.
