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---
dataset_info:
- config_name: raw
  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: objects
    list:
    - name: name
      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: pose
      dtype:
        class_label:
          names:
            '0': stand
            '1': sit
            '2': partial
            '3': Unspecified
            '4': squats
            '5': lie
            '6': bend
            '7': fall
            '8': walk
            '9': push
            '10': pray
            '11': undefined
            '12': kneel
            '13': unrecognize
            '14': unknown
            '15': other
            '16': ride
    - name: diffult
      dtype: int32
    - name: xmin
      dtype: float64
    - name: ymin
      dtype: float64
    - name: xmax
      dtype: float64
    - name: ymax
      dtype: float64
  splits:
  - name: train
    num_bytes: 9046918
    num_examples: 15156
  download_size: 18160510195
  dataset_size: 9046918
- config_name: coco
  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: objects
    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
  - name: image_id
    dtype: string
  splits:
  - name: train
    num_bytes: 8285204
    num_examples: 15156
  download_size: 18160510195
  dataset_size: 8285204
license: cc-by-nc-2.0
task_categories:
- object-detection
- image-classification
tags:
- lam
- art
- historical
pretty_name: 'DEArt: Dataset of European Art'
size_categories:
- 10K<n<100K
---

# Dataset Card for DEArt: Dataset of European Art

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

[More Information Needed]

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.