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 |
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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 imagesreference_images/
: Folder containing 25 reference imagesmos_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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