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## Disaster Classifier
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- Task: **Development of customized disaster media service platform technology for disaster information and vulnerable groups** (재난정보인지 취약계층을 위한 맞춤형 재난미디어 서비스 플랫폼 기술 개발)
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- Task has been completed by **VI Lab (Video Inteligence Lab) [[Link]](https://sites.google.com/view/knuvi/)** (~12. 31, 2023) with ETRI (Electronics and Telecommunications Research Institute)
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- Task has been completed by **VI Lab [(Video Inteligence Lab)](https://sites.google.com/view/knuvi/)** (~12. 31, 2023) with ETRI (Electronics and Telecommunications Research Institute)
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- *Automatic Classification of Disaster Images Based on Deep Learning* **[[Paper]](https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11636493&nodeId=NODE11636493&medaTypeCode=185005&isPDFSizeAllowed=true&locale=ko&articleTitle=Automatic+Classification+of+Disaster+Images+Based+on+Deep+Learning&articleTitleEn=Automatic+Classification+of+Disaster+Images+Based+on+Deep+Learning&language=ko_KR&hasTopBanner=true)** published in KCIS (The Korean Institute of Communications and Information Sciences, 한국통신학회)
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- Patent application (딥러닝 기반 이미지 데이터 분류 장치 및 방법)
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- Record Disaster Classifier Task in Notion [[Link]](https://hojunking.notion.site/Disaster-Task-cb8c0ad55fb44786a558d7874b73f18c?pvs=4)
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- Record Disaster classifier task in Notion [[Link]](https://hojunking.notion.site/Disaster-Task-cb8c0ad55fb44786a558d7874b73f18c?pvs=4)
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### Start
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Python 3.9+
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```
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pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch-nightly -c nvidia
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conda install pandas, numpy, tqdm, timm, albumentation
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```
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- Prepare dataset (disaster or natural images)
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- Use ``train.py, eval.py``
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- Classifier Model (inception_resnet-v2) **[[Link]](https://drive.google.com/drive/folders/1OhiCNBPpkISCRuQ-8G0Z-HE5Kk9LAUx5?usp=sharing)**
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- Prepare dataset (disaster or non-disaster images)
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- Train, Evaluation code : ``train.py, eval.py``
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- Classifier model (inception_resnet-v2) **[[Google drive]](https://drive.google.com/drive/folders/1OhiCNBPpkISCRuQ-8G0Z-HE5Kk9LAUx5?usp=sharing)**
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### Proposed Method
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- Augment disaster images
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<img src="./asset/fig1.jpg" align="center" width="65%">
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- Framework
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<img src="./asset/framework.png" align="center" width="70%">

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