image
imagewidth (px)
512
512
score
float32
0.24
7.21
5.51429
5.56757
4.94444
4.37838
3.86486
6.02857
6.10811
5.38889
4.71429
4.36111
4.77143
4.27027
3.7027
3.19444
2.71429
5.97143
5.75676
5.27027
5.24324
4.71429
5.91892
5.7027
5.08333
4.13889
3.13889
4
3.89189
3.72973
3.48571
2.94444
5.08333
4.75
4
3.22222
2.19444
5.18919
4.47222
3.48649
3
2.11111
6.08333
5.16667
4.42857
2.81081
1.54054
5.97297
5.94595
4.91667
3.21622
2.08108
5.91429
5.67568
4.69444
3.67568
1.45946
5.94595
5.86486
4.21622
3.83333
3.43243
5.45946
3.91429
3.27778
3.16667
3.10811
5.69444
6.05405
5.75676
5.55556
4.47059
2.83333
2.82857
3.10811
3.58333
3.89189
5.80556
6.05405
4.88889
5.02778
4.19444
5.35135
6.62162
4.08108
6.24324
2.97143
4.62162
4.22222
3.77143
3.47222
3.41667
5.94444
5.47222
5.08108
4.52778
3.94444
5.85714
5.83333
6.02778
5.08333
4.33333

TID2013 Image Quality Assessment Dataset

This repository contains the TID2013 (Tampere Image Database 2013) dataset for image quality assessment research.

Dataset Description

TID2013 consists of:

  • 25 reference images
  • 3000 distorted images (25 reference images x 24 types of distortions x 5 levels of distortions)

Contents

  • distorted_images/: Folder containing 3000 distorted images
  • reference_images/: Folder containing 25 reference images
  • mos_with_names.txt: Mean Opinion Scores (MOS) for each image

Usage

To load the dataset, use the following code:

from datasets import load_dataset

dataset = load_dataset("xmba15/TID2013")

Acknowledgement

When using this dataset, please cite the original paper:

Ponomarenko, Nikolay, et al. "Image database TID2013: Peculiarities, results and perspectives." Signal processing: Image communication 30 (2015): 57-77.
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