Datasets:
metadata
dataset_info:
features:
- name: image
dtype: image
- name: country
dtype: string
- name: type
dtype: string
splits:
- name: car
num_bytes: 3201160980.792
num_examples: 1012
- name: cups_mugs_glasses
num_bytes: 3068306504
num_examples: 970
- name: family_snapshots
num_bytes: 3220140209.298
num_examples: 1018
- name: front_door
num_bytes: 3210650589.135
num_examples: 1015
- name: home
num_bytes: 3166365771.336
num_examples: 1001
- name: kitchen
num_bytes: 3229629942.505
num_examples: 1021
- name: plate_of_food
num_bytes: 2951267801
num_examples: 933
- name: social_drink
num_bytes: 3169528870.82
num_examples: 1002
- name: wall_decoration
num_bytes: 3093612010
num_examples: 978
- name: wardrobe
num_bytes: 3115754440
num_examples: 985
download_size: 27828200412
dataset_size: 31426417118.886
configs:
- config_name: default
data_files:
- split: car
path: data/car-*
- split: cups_mugs_glasses
path: data/cups_mugs_glasses-*
- split: family_snapshots
path: data/family_snapshots-*
- split: front_door
path: data/front_door-*
- split: home
path: data/home-*
- split: kitchen
path: data/kitchen-*
- split: plate_of_food
path: data/plate_of_food-*
- split: social_drink
path: data/social_drink-*
- split: wall_decoration
path: data/wall_decoration-*
- split: wardrobe
path: data/wardrobe-*