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Incidents1M: a large-scale dataset of images with natural disasters,
  damage, and incidents

Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents

11 January 2022
Ethan Weber
Dim P. Papadopoulos
Àgata Lapedriza
Ferda Ofli
Muhammad Imran
Antonio Torralba
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Papers citing "Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents"

5 / 5 papers shown
Title
CrisisViT: A Robust Vision Transformer for Crisis Image Classification
CrisisViT: A Robust Vision Transformer for Crisis Image Classification
Zijun Long
R. McCreadie
Muhammad Imran
74
9
0
05 Jan 2024
NADBenchmarks -- a compilation of Benchmark Datasets for Machine
  Learning Tasks related to Natural Disasters
NADBenchmarks -- a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters
A. Proma
Md. Saiful Islam
Stela Ciko
Raiyan Abdul Baten
E. Hoque
34
3
0
21 Dec 2022
Mapping Informal Settlements in Developing Countries with
  Multi-resolution, Multi-spectral Data
Mapping Informal Settlements in Developing Countries with Multi-resolution, Multi-spectral Data
P. Helber
Bradley Gram-Hansen
I. Varatharajan
F. Azam
Alejandro Coca-Castro
V. Kopačková
Piotr Bilinski
11
5
0
30 Nov 2018
Fine-Grained Car Detection for Visual Census Estimation
Fine-Grained Car Detection for Visual Census Estimation
Timnit Gebru
J. Krause
Yilun Wang
Duyun Chen
Jia Deng
Li Fei-Fei
60
116
0
07 Sep 2017
Using Deep Learning and Google Street View to Estimate the Demographic
  Makeup of the US
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US
Timnit Gebru
J. Krause
Yilun Wang
Duyun Chen
Jia Deng
Erez Aiden Lieberman
Li Fei-Fei
HAI
82
413
0
22 Feb 2017
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