The HASYv2 dataset
Martin Thoma
TL;DR
The HASYv2 dataset provides a large, publicly available collection of handwritten symbols for classification and verification tasks, supporting research in symbol recognition.
Contribution
It introduces the HASYv2 dataset with 168,233 instances across 369 classes, including predefined folds for cross-validation and verification challenges.
Findings
Supports research in symbol classification and verification
Provides a benchmark for machine learning models
Enables evaluation of recognition algorithms
Abstract
This paper describes the HASYv2 dataset. HASY is a publicly available, free of charge dataset of single symbols similar to MNIST. It contains 168233 instances of 369 classes. HASY contains two challenges: A classification challenge with 10 pre-defined folds for 10-fold cross-validation and a verification challenge.
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Taxonomy
TopicsMedical Imaging Techniques and Applications · Radiomics and Machine Learning in Medical Imaging