Datasets:
metadata
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
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
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 for adding this dataset.