CVJan 29, 2017

The HASYv2 dataset

arXiv:1701.08380v137 citations
Originality Synthesis-oriented
AI Analysis

This provides a new dataset for researchers in machine learning, particularly for tasks similar to MNIST, but it is incremental as it builds upon existing dataset concepts.

The paper introduces the HASYv2 dataset, a publicly available collection of 168,233 instances across 369 classes of single symbols, designed for classification and verification challenges with pre-defined folds for cross-validation.

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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The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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