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The dataset contains 2621 images of handwritten Roman numerals from I to X, collected from 131 individuals. Inside the main folder, there are 10 subfolders corresponding to each Roman numeral. There is an additional folder called "edge cases" (96 images) containing non-standard forms of the Roman numerals. iij (3) IIII (4) IIIII (5) A (5) IIIIII (6) ↅ (6) vij (7) IIX (8) VIIII (9)
Machine Learning, Handwriting, Optical Character Recognition, Roman Numerals
Machine Learning, Handwriting, Optical Character Recognition, Roman Numerals
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 66 |

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