Datasets:
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README.md
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- (200,300,3)
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source_dataset:
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---
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## Dataset Description
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-
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image_size:
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- (200,300,3)
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source_dataset:
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- unsplash
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task_categories:
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- image-classification
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- image-segmentation
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dataset_info:
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- config_name: depth-of-field
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features:
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- name: image
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dtype: string
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- name: class
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dtype:
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class_label:
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names:
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0: 'bokeh'
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1: 'no-bokeh'
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---
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## Dataset Summary
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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](https://github.com/unsplash/datasets) data set.
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## Dataset Description
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- **Repository:** [https://github.com/sniafas/photography-style-analysis](https://github.com/sniafas/photography-style-analysis)
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- **Paper:** [More Information Needed](https://www.researchgate.net/publication/355917312_Photography_Style_Analysis_using_Machine_Learning)
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### Citation Information
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```
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@article{sniafas2021,
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title={DoF: An image dataset for depth of field classification},
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author={Niafas, Stavros},
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doi= {10.13140/RG.2.2.29880.62722},
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url= {https://www.researchgate.net/publication/364356051_DoF_depth_of_field_datase}
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year={2021}
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}
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Note that each DoF dataset has its own citation. Please see the source to
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get the correct citation for each contained dataset.
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