Datasets:
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README.md
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### Supported Tasks and Leaderboards
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This dataset is intended to train image classification or regression models to predict the time period in which color photographs were taken.
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## Dataset Structure
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#### Initial Data Collection and Normalization
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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#### Who are the annotators?
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### Personal and Sensitive Information
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### Contributions
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Thanks to [@
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### Supported Tasks and Leaderboards
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This dataset is intended to train image classification or regression models to predict the time period in which color photographs were taken. This task could be approached either as a classification task or could be approached as an image regression task.
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## Dataset Structure
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#### Initial Data Collection and Normalization
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> Beginning with a collection of approximately 230,000 Flickr images taken prior to 1980, we perform automated removal of monochromatic images. The remaining images are manually inspected to remove non-photographic content (e.g. scans of vintage artwork) and any remaining monochromatic images. Finally, a random subsampling and decimation is performed to create a dataset containing an equal number of historical color images for each decade (1,375 images total).
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### Annotations
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#### Annotation process
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Annotations are based on metadata available on Flickr.
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#### Who are the annotators?
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It appears that annotations are sourced via Flickr, so the annotators are presumed to be those uploading the images to Flickr. This will include individuals as well as cultural heritage institutions.
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### Personal and Sensitive Information
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### Contributions
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Thanks to [@davanstrien](https://github.com/davanstrien) for adding this dataset.
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