DIV2K dataset: DIVerse 2K resolution high quality images as used for the NTIRE challenge on super-resolution @ CVPR 2017

Eirikur Agustsson, Radu Timofte, Luc Van Gool


 

Citation

Please add a reference to the paper if you are using the dataset

@InProceedings{Agustsson_2017_CVPR_Workshops,
	author = {Agustsson, Eirikur and Timofte, Radu},
	title = {NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study},
	booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
	month = {July},
	year = {2017}
} 

Supplementary material (PSNR, SSIM, IFC, CORNIA results for top NTIRE 2017 challenge methods (SNU_CVLab, HelloSR, Lab402), VDSR and A+ on DIV2K, Urban100, B100, Set14, Set5)

License

Please notice that this dataset is made available for academic research purpose only. All the images are collected from the Internet, and the copyright belongs to the original owners. If any of the images belongs to you and you would like it removed, please kindly inform us, we will remove it from our dataset immediately.

 

Data overview

We are making available a large newly collected dataset -DIV2K- of RGB images with a large diversity of contents.

The DIV2K dataset is divided into:

Data structure

DIV2K dataset has the following structure:

1000 2K resolution images divided into: 800 images for training, 100 images for validation, 100 images for testing

For each challenge Track (with 1. bicubic or 2. unknown downgrading operators) we have:

DIV2K forder structure is as follows:


DIV2K/ -- DIV2K dataset

DIV2K/DIV2K_train_HR/ -- 0001.png, 0002.png, ..., 0800.png train HR images (provided to the participants)
DIV2K/DIV2K_train_LR_bicubic/ -- corresponding low resolution images obtained using Matlab imresize function with default settings (bicubic interpolation)
DIV2K/DIV2K_train_LR_bicubic/X2/ -- 0001x2.png, 0002x2.png, ..., 0800x2.png train LR images, downscale factor x2
DIV2K/DIV2K_train_LR_bicubic/X3/ -- 0001x3.png, 0002x3.png, ..., 0800x3.png train LR images, downscale factor x3
DIV2K/DIV2K_train_LR_bicubic/X4/ -- 0001x4.png, 0002x4.png, ..., 0800x4.png train LR images, downscale factor x4
DIV2K/DIV2K_train_LR_unknown/ -- corresponding low resolution images obtained using degradation operators kept hidden, unknown to the participants
DIV2K/DIV2K_train_LR_unknown/X2/ -- 0001x2.png, 0002x2.png, ..., 0800x2.png train LR images, downscale factor x2
DIV2K/DIV2K_train_LR_unknown/X3/ -- 0001x3.png, 0002x3.png, ..., 0800x3.png train LR images, downscale factor x3
DIV2K/DIV2K_train_LR_unknown/X4/ -- 0001x4.png, 0002x4.png, ..., 0800x4.png train LR images, downscale factor x4

DIV2K/DIV2K_valid_HR/ -- 0801.png, 0802.png, ..., 0900.png validation HR images (will be available to the participants at the beginning of the final evaluation phase)
DIV2K/DIV2K_valid_LR_bicubic/ -- corresponding low resolution images obtained using Matlab imresize function with default settings (bicubic interpolation)
DIV2K/DIV2K_valid_LR_bicubic/X2/ -- 0801x2.png, 0802x2.png, ..., 0900x2.png train LR images, downscale factor x2
DIV2K/DIV2K_valid_LR_bicubic/X3/ -- 0801x3.png, 0802x3.png, ..., 0900x3.png train LR images, downscale factor x3
DIV2K/DIV2K_valid_LR_bicubic/X4/ -- 0801x4.png, 0802x4.png, ..., 0900x4.png train LR images, downscale factor x4
DIV2K/DIV2K_valid_LR_unknown/ -- corresponding low resolution images obtained using degradation operators kept hidden, unknown to the participants
DIV2K/DIV2K_valid_LR_unknown/X2/ -- 0801x2.png, 0802x2.png, ..., 0900x2.png train LR images, downscale factor x2
DIV2K/DIV2K_valid_LR_unknown/X3/ -- 0801x3.png, 0802x3.png, ..., 0900x3.png train LR images, downscale factor x3
DIV2K/DIV2K_valid_LR_unknown/X4/ -- 0801x4.png, 0802x4.png, ..., 0900x4.png train LR images, downscale factor x4

DIV2K/DIV2K_test_HR/ -- 0901.png, 0902.png, ..., 1000.png test HR images (not provided to the participants, used for final evaluation and ranking)
DIV2K/DIV2K_test_LR_bicubic/ -- corresponding low resolution images obtained using Matlab imresize function with default settings (bicubic interpolation)
DIV2K/DIV2K_test_LR_bicubic/X2/ -- 0901x2.png, 0902x2.png, ..., 1000x2.png train LR images, downscale factor x2
DIV2K/DIV2K_test_LR_bicubic/X3/ -- 0901x3.png, 0902x3.png, ..., 1000x3.png train LR images, downscale factor x3
DIV2K/DIV2K_test_LR_bicubic/X4/ -- 0901x4.png, 0902x4.png, ..., 1000x4.png train LR images, downscale factor x4
DIV2K/DIV2K_test_LR_unknown/ -- corresponding low resolution images obtained using degradation operators kept hidden, unknown to the participants
DIV2K/DIV2K_test_LR_unknown/X2/ -- 0901x2.png, 0902x2.png, ..., 1000x2.png train LR images, downscale factor x2
DIV2K/DIV2K_test_LR_unknown/X3/ -- 0901x3.png, 0902x3.png, ..., 1000x3.png train LR images, downscale factor x3
DIV2K/DIV2K_test_LR_unknown/X4/ -- 0901x4.png, 0902x4.png, ..., 1000x4.png train LR images, downscale factor x4

 

Data access

 

 

Scoring scripts

 

Matlab scoring functions used by NTIRE 2017 challenge for the evaluation of the solutions