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---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: string
splits:
- name: train
num_bytes: 297694107.22
num_examples: 4770
- name: val
num_bytes: 35589990.0
num_examples: 583
download_size: 650206163
dataset_size: 333284097.22
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
---
Dataset for buildings / city_landscapes classification, it has 53 labels:
{
'autumn_city_street',
'cafe',
'cafe_building',
'car_in_city',
'cars_on_road',
'church_building',
'city_center',
'city_skyscrapers',
'construction',
'crowd_of_people',
'fountain',
'garden',
'garden_building',
'gothic_building',
'highway',
'hotel',
'lake',
'mansion',
'market',
'modern_bridge',
'modern_building',
'modern_city_street',
'monastery',
'monument',
'museum',
'night_city_street',
'night_winter_street',
'old_bridge',
'old_city_street',
'palace',
'panel_building',
'parking',
'pedestrian_street',
'river_in_city',
'road',
'russian_church',
'shopping_mall',
'signboard',
'skating_ring',
'stadium',
'street_art',
'subway',
'summer_city_street',
'tall_building',
'theatre',
'theatre_building',
'touristic_castle',
'tower',
'train_station',
'trees',
'village_houses',
'winter_city',
'winter_city_street'
} |