|
--- |
|
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. |
