Published May 16, 2022 | Version v1

annotation data for art painting detection and identification

Authors/Creators

  • 1. Department of Copyright Protection, Sangmyung University

Description

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

Files

data_for_art_painting_detection_and_identification_paper.zip

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