README.md

metadata

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
      num_examples: 3000
  download_size: 1500564042
  dataset_size: 1769658375
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:

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.