Datasets:
File size: 1,395 Bytes
47e2480 067dd11 e67b07e 3ccb07f e67b07e 3ccb07f e67b07e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 |
---
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'
---
## 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.
|