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depth-of-field

Tasks:
Image Classification
Image Segmentation
Annotations Creators: Stavros Niafas
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metadata
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 data set.

Dataset Description

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.