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ABCD dataset

The ABCD (AIST Building Change Detection) dataset is a newly annotated dataset designed for building systems that identify whether structures have been destroyed by tsunamis. Each data point consists of a pair of aerial image patches captured before and after a tsunami, centered on the target building. The dataset includes both fixed‑scale and resized patch pairs, corresponding to different resolutions and spatial scales.

Updated 3/11/2024
github

Description

ABCD Dataset Overview

Dataset Description

  • Name: ABCD (AIST Building Change Detection) Dataset
  • Purpose: To build and evaluate post‑tsunami building damage detection systems, specifically to identify whether buildings have been washed away.
  • Content: Contains 8,506 fixed‑scale and 8,444 resized building image pairs; each pair includes pre‑ and post‑tsunami aerial patches centered on a target building.
  • Image Source: RGB aerial imagery from Japan's Tohoku region captured before and after the 2011 Great East Japan Earthquake.
  • Image Resolution: Pre‑earthquake images at 40 cm resolution; post‑earthquake images originally at 12 cm (resampled to 40 cm).
  • Image Format: Fixed‑scale images are 160 × 160 pixels; resized images are uniformly cropped to 128 × 128 pixels based on building size.
  • Label Source: Labels derived from on‑site surveys conducted by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT), which assessed over 220,000 buildings in the affected area.

Dataset Structure

  • Directory Layout:
    • fixed-scale/: Fixed‑scale image pairs.
      • patch-pairs/: Stores fixed‑scale pairs in .tif format.
      • 5fold-list/: CSV files for 5‑fold cross‑validation.
    • resized/: Resized image pairs.
      • patch-pairs/: Stores resized pairs in .tif format.
      • 5fold-list/: CSV files for 5‑fold cross‑validation.
  • File Format: Each .tif file contains six channels; the first three are pre‑tsunami RGB, the last three are post‑tsunami RGB.
  • Label Format: In the CSV, the first column is the file name and the second column is the class label ("1" for "washed away", "0" for "survived").

Download Information

Contact

  • Contact Person: Aito Fujita
  • Institution: National Institute of Advanced Industrial Science and Technology (AIST), Japan
  • Email: fujita.713[at]aist.go.jp

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Topics

Building Change Detection
Tsunami Impact Assessment

Source

Organization: github

Created: 11/2/2017

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