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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.

Updated 4/1/2024
hugging_face

Description

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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Topics

Building Classification
Urban Landscape

Source

Organization: hugging_face

Created: Unknown

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