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---
language:
- en
tasks:
- No-reference Image Quality Assessment
dataset_info:
features:
- name: image
dtype: image
- name: score
dtype: float32
splits:
- name: train
num_bytes: 1769658375.0
num_examples: 3000
download_size: 1500564042
dataset_size: 1769658375.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# 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:
```python
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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