| 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' | |
| } |