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This dataset contains annotations of 33 types of fruits in a collection of 4685 images of artworks. It was annotated in the context of the INSIGHT ("Intelligent Neural Systems as Integrated Heritage Tools") project funded by the Belgian Federal Research Agency BELSPO under the BRAIN-be program. Project website: https://hosting.uantwerpen.be/insight/ The annotations have been done using the Cytomine web platform: https://cytomine.be The annotations are available for reuse without restrictions (CC-BY). Images are available upon request.
Digital heritage, Computer vision, object detection, fruits, computational art history
Digital heritage, Computer vision, object detection, fruits, computational art history
| 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 | 5 |

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