Dataset assetOpen Source CommunityUrban LandscapeBuilding Classification

Alphonsce/buildings

The dataset is intended for building and urban landscape classification, containing 53 labels that span a variety of scenes from city streets, cafés, and church architecture to modern bridges and shopping malls. The dataset is split into a training set with 4,770 samples and a validation set with 583 samples.

Source

hugging_face

Created

Nov 28, 2025

Updated

Apr 1, 2024

Signals

116 views

Availability

Linked source ready

Overview

Dataset description and usage context

Dataset Overview

Dataset Features

image: Image data type.
label: String data type.

Dataset Split

Training Set: Contains 4,770 samples, occupying 297,694,107.22 bytes.
Validation Set: Contains 583 samples, occupying 35,589,990.0 bytes.

Dataset Size

Download Size: 650,206,163 bytes.
Total Dataset Size: 333,284,097.22 bytes.

Configuration Files

Default Configuration:
- Training path: data/train-*
- Validation path: data/val-*

Label Taxonomy

The dataset includes 53 labels for building/urban landscape classification, as follows:

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

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