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This dataset contains the training, evaluation, and test set for the ICDAR 2019 Competition on Baseline Detection (cBAD). A newly created freely available real world dataset consisting of 3021 annotated document page images that are collected from seven European archives and form the basis of cBAD. The baselines in all images were manually annotated. The training and the evaluation sets contain PAGE XMLs with annotated text regions and baselines. Competition Website: https://scriptnet.iit.demokritos.gr/competitions/11/
Baseline Detection, Historical documents, cBAD, ICDAR2019 Competition
Baseline Detection, Historical documents, cBAD, ICDAR2019 Competition
| 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). | 0 | |
| 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 |
| views | 111 | |
| downloads | 16 |

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