PACS dataset

doi:doi:10.57702/au9ah9mz

PACS dataset

The dataset used in the paper is a large collection of small images, each representing a patch of a jigsaw puzzle. The patches are of the same size and orientation, and the goal is to reassemble the original image or assign a position in a 2-dimensional grid to each patch of the puzzle.

BibTex:

@dataset{Baifeng_Shi_and_Dinghuai_Zhang_and_Qi_Dai_and_Zhanxing_Zhu_and_Yadong_Mu_and_Jingdong_Wang_2024,
    abstract = {The dataset used in the paper is a large collection of small images, each representing a patch of a jigsaw puzzle. The patches are of the same size and orientation, and the goal is to reassemble the original image or assign a position in a 2-dimensional grid to each patch of the puzzle.},
    author = {Baifeng Shi and Dinghuai Zhang and Qi Dai and Zhanxing Zhu and Yadong Mu and Jingdong Wang},
    doi = {10.57702/au9ah9mz},
    institution = {No Organization},
    keyword = {'Computer Vision', 'Domain Adaptation', 'Domain Generalization', 'Domain generalization', 'Image Classification', 'Image classification', 'PACS', 'domain adaptation', 'domain generalization', 'image classification', 'image dataset', 'image extension', 'jigsaw puzzle', 'relaxation labeling', 'style transfer'},
    month = {dec},
    publisher = {TIB},
    title = {PACS dataset},
    url = {https://service.tib.eu/ldmservice/dataset/pacs-dataset},
    year = {2024}
}