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README.md

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----
-license: apache-2.0
-annotations_creators:
-- Stavros Niafas
-sample_number:
-- 1200
-class_number:
-- 2
-image_size:
-- (200,300,3)
-source_dataset:
-- unsplash
-task_categories:
-- image-classification
-- image-segmentation
-dataset_info:
-- config_name: depth-of-field
-  features:
-  - name: image
-    dtype: string
-  - name: class
-    dtype:
-      class_label:
-        names:
-          0: bokeh
-          1: no-bokeh
-- config_name: default
-  features:
-  - name: image
-    dtype: image
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: '0'
-          1: '1'
-  splits:
-  - name: train
-    num_bytes: 192150
-    num_examples: 1200
-  download_size: 38792692
-  dataset_size: 192150
----
-## 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](https://github.com/unsplash/datasets) data set.
-
-## Dataset Description
-
-- **Repository:** [https://github.com/sniafas/photography-style-analysis](https://github.com/sniafas/photography-style-analysis)
-- **Paper:** [More Information Needed](https://www.researchgate.net/publication/355917312_Photography_Style_Analysis_using_Machine_Learning)
-
-### 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.