---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: source
    dtype: string
  - name: width
    dtype: int16
  - name: height
    dtype: int16
  - name: dept
    dtype: int8
  - name: segmented
    dtype: int8
  - name: image_id
    dtype: string
  - name: annotations
    list:
    - name: category_id
      dtype:
        class_label:
          names:
            '0': zebra
            '1': tree
            '2': nude
            '3': crucifixion
            '4': scroll
            '5': head
            '6': swan
            '7': shield
            '8': lily
            '9': mouse
            '10': knight
            '11': dragon
            '12': horn
            '13': dog
            '14': palm
            '15': tiara
            '16': helmet
            '17': sheep
            '18': deer
            '19': person
            '20': sword
            '21': rooster
            '22': bear
            '23': halo
            '24': lion
            '25': monkey
            '26': prayer
            '27': crown of thorns
            '28': elephant
            '29': zucchetto
            '30': unicorn
            '31': holy shroud
            '32': cat
            '33': apple
            '34': banana
            '35': chalice
            '36': bird
            '37': eagle
            '38': pegasus
            '39': crown
            '40': camauro
            '41': saturno
            '42': arrow
            '43': dove
            '44': centaur
            '45': horse
            '46': hands
            '47': skull
            '48': orange
            '49': monk
            '50': trumpet
            '51': key of heaven
            '52': fish
            '53': cow
            '54': angel
            '55': devil
            '56': book
            '57': stole
            '58': butterfly
            '59': serpent
            '60': judith
            '61': mitre
            '62': banner
            '63': donkey
            '64': shepherd
            '65': boat
            '66': god the father
            '67': crozier
            '68': jug
            '69': lance
    - name: image_id
      dtype: string
    - name: area
      dtype: int64
    - name: bbox
      sequence: float32
      length: 4
    - name: segmentation
      list:
        list: float32
    - name: iscrowd
      dtype: bool
  splits:
  - name: train
    num_bytes: 8991340765.256
    num_examples: 15156
  download_size: 18150029661
  dataset_size: 8991340765.256
---
# Dataset Card for "deart"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

A nicer version of this dataset can be found in the BigLAM org: [biglam/european_art](https://huggingface.co/datasets/biglam/european_art)