---
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.
```