annotation data for art painting detection and identification

Annotated art painting detection and identification image data used in the following paper: Hong, Y., Kim, J. Art painting detection and identification based on deep learning and image local features. Multimed Tools Appl 78, 6513–6528 (2019). https://doi.org/10.1007/s11042-018-6387-5 Label format used in the dataset please refer to yolov2 <object-class> <x> <y> <width> <height> https://pjreddie.com/darknet/yolo/ https://arxiv.org/abs/1612.08242

Related Organizations

Sangmyung University
Korea (Republic of)

Keywords

art painting detection, art painting identification

Impact byBIP!

	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