TITLE: OrigamiSet1.0: Two New Datasets for Origami Classification and Difficulty Estimation 

ABSTRACT: Origami is becoming more and more relevant to research. However, there is no
public dataset yet available and there hasn't been any research on this topic
in machine learning. We constructed an origami dataset using images from the
multimedia commons and other databases. It consists of two subsets: one for
classification of origami images and the other for difficulty estimation. We
obtained 16000 images for classification (half origami, half other objects) and
1509 for difficulty estimation with $3$ different categories (easy: 764,
intermediate: 427, complex: 318). The data can be downloaded at:
https://github.com/multimedia-berkeley/OriSet. Finally, we provide machine
learning baselines.
Origami is becoming more and more relevant to research. However, there is no
public dataset yet available and there hasn't been any research on this topic
in machine learning. We constructed an origami dataset using images from the
multimedia commons and other databases. It consists of two subsets: one for
classification of origami images and the other for difficulty estimation. We
obtained 16000 images for classification (half origami, half other objects) and
1509 for difficulty estimation with $3$ different categories (easy: 764,
intermediate: 427, complex: 318). The data can be downloaded at:
https://github.com/multimedia-berkeley/OriSet. Finally, we provide machine
learning baselines.
OrigamiSet1.0: Two New Datasets for Origami Classification and Difficulty Estimation
http://arxiv.org/abs/2101.05470v1