svnfs/bokeh
Image Classification
•
Updated
Datasets:
Annotations Creators:
Stavros Niafas
License:
apache-2.0
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Dataset Summary
Depth-of-Field(DoF) dataset is comprised of 1200 annotated images, binary annotated with(0) and without(1) bokeh effect, shallow or deep depth of field. It is a forked data set from the Unsplash 25K data set.
Citation Information
@article{sniafas2021,
title={DoF: An image dataset for depth of field classification},
author={Niafas, Stavros},
doi= {10.13140/RG.2.2.29880.62722},
url= {https://www.researchgate.net/publication/364356051_DoF_depth_of_field_datase}
year={2021}
}
Note that each DoF dataset has its own citation. Please see the source to get the correct citation for each contained dataset.
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Repository:
github.com
Size of downloaded dataset files:
38.8 MB
Size of the auto-converted Parquet files:
38.9 MB
Number of rows:
1,200
Models trained or fine-tuned on svnfs/depth-of-field