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--- |
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language: |
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- en |
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tasks: |
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- No-reference Image Quality Assessment |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: score |
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dtype: float32 |
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splits: |
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- name: train |
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num_bytes: 1769658375.0 |
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num_examples: 3000 |
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download_size: 1500564042 |
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dataset_size: 1769658375.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# TID2013 Image Quality Assessment Dataset |
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This repository contains the TID2013 (Tampere Image Database 2013) dataset for image quality assessment research. |
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## Dataset Description |
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TID2013 consists of: |
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- 25 reference images |
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- 3000 distorted images (25 reference images x 24 types of distortions x 5 levels of distortions) |
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## Contents |
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- `distorted_images/`: Folder containing 3000 distorted images |
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- `reference_images/`: Folder containing 25 reference images |
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- `mos_with_names.txt`: Mean Opinion Scores (MOS) for each image |
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## Usage |
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To load the dataset, use the following code: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("xmba15/TID2013") |
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``` |
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## Acknowledgement |
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When using this dataset, please cite the original paper: |
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``` |
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Ponomarenko, Nikolay, et al. "Image database TID2013: Peculiarities, results and perspectives." Signal processing: Image communication 30 (2015): 57-77. |
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``` |
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