Add Q-Align splits for KADID10k and SPAQ
#3
by chaofengc - opened
- README.md +15 -0
- meta_info_KADID10kDataset.csv +0 -0
- meta_info_SPAQDataset.csv +0 -0
README.md
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This repo contains the meta information of datasets stored in [chaofengc/IQA-PyTorch-Weights](https://huggingface.co/chaofengc/IQA-PyTorch-Weights). They are used in the training codes of the [pyiqa toolbox](https://github.com/chaofengc/IQA-PyTorch).
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# Disclaimer for Datasets Included
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This collection of datasets is compiled and maintained for academic, research, and educational purposes. It is important to note the following points regarding the datasets included in this Collection:
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This repo contains the meta information of datasets stored in [chaofengc/IQA-PyTorch-Weights](https://huggingface.co/chaofengc/IQA-PyTorch-Weights). They are used in the training codes of the [pyiqa toolbox](https://github.com/chaofengc/IQA-PyTorch).
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# Q-Align split annotations
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The `meta_info_KADID10kDataset.csv` and `meta_info_SPAQDataset.csv` files
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include a `qalign_split` column. Rows present in the corresponding Q-Align test
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manifest are marked `test`; all remaining rows are marked `train` as the
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complement of that test manifest. Image names were matched against the
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Q-Align manifests. These columns provide a consistent Q-Align test split
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alongside the existing HF train/validation folds.
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The Q-Align test manifests are available for these datasets, but a separate
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Q-Align training manifest was not available when these annotations were
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prepared. Therefore, `train` means “not present in the supplied Q-Align test
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manifest” and should not be interpreted as confirmation that every such row
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was used to train Q-Align.
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# Disclaimer for Datasets Included
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This collection of datasets is compiled and maintained for academic, research, and educational purposes. It is important to note the following points regarding the datasets included in this Collection:
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meta_info_KADID10kDataset.csv
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meta_info_SPAQDataset.csv
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