## 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.
task_categories:image-classification task_categories:image-segmentation annotations_creators:Stavros Niafas license:apache-2.0 region:us
{"annotations_creators": ["Stavros Niafas"], "license": "apache-2.0", "task_categories": ["image-classification", "image-segmentation"], "sample_number": [1200], "class_number": [2], "image_size": ["(200,300,3)"], "source_dataset": ["unsplash"], "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}]}
TAGS
#task_categories-image-classification #task_categories-image-segmentation #annotations_creators-Stavros Niafas #license-apache-2.0 #region-us 

## 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 data set.

## Dataset Description

- Repository: URL
- Paper: 



Note that each DoF dataset has its own citation. Please see the source to
get the correct citation for each contained dataset.
## 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 data set. ## Dataset Description

- Repository: URL
- Paper: 



Note that each DoF dataset has its own citation. Please see the source to
get the correct citation for each contained dataset.
TAGS
#task_categories-image-classification #task_categories-image-segmentation #annotations_creators-Stavros Niafas #license-apache-2.0 #region-us 
 ## 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 data set. ## Dataset Description

- Repository: URL
- Paper: 



Note that each DoF dataset has its own citation. Please see the source to
get the correct citation for each contained dataset.
passage: TAGS
#task_categories-image-classification #task_categories-image-segmentation #annotations_creators-Stavros Niafas #license-apache-2.0 #region-us 
## 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 data set.## Dataset Description

- Repository: URL
- Paper: 



Note that each DoF dataset has its own citation. Please see the source to
get the correct citation for each contained dataset.