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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. |