The HASYv2 dataset
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Abstract (arXiv)
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.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Jan 2017.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 3; 2024: 2.
6 papers.
- 2021Open-world Machine Learning: Applications, Challenges, and Opportunitiescited by 34
- 2023ChatABL: Abductive Learning via Natural Language Interaction with ChatGPTcited by 26
- 2023Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guaranteescited by 6
- 2024Differentiable Logic Programming for Distant Supervisioncited by 4
- 2023Learning Modulo Theoriescited by 0
- 2024ICPR 2024 Competition on Domain Adaptation and GEneralization for Character Classification (DAGECC)cited by 0
- 2024ICPR 2024 Competition on Domain Adaptation and GEneralization for Character Classification (DAGECC)23 Dec 2024
- 2024Differentiable Logic Programming for Distant Supervision22 Aug 2024
- 2023Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees21 Aug 2023
- 2023ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT21 Apr 2023
- 2023Learning Modulo Theories26 Jan 2023
- 2021Open-world Machine Learning: Applications, Challenges, and Opportunities27 May 2021