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1 | 1 | ## Disaster Classifier
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2 | 2 | - 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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3 |
| -- 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) |
| 3 | +- 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) |
4 | 4 | - *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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5 | 5 | - Patent application (딥러닝 기반 이미지 데이터 분류 장치 및 방법)
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6 |
| -- Record Disaster Classifier Task in Notion [[Link]](https://hojunking.notion.site/Disaster-Task-cb8c0ad55fb44786a558d7874b73f18c?pvs=4) |
| 6 | +- Record Disaster classifier task in Notion [[Link]](https://hojunking.notion.site/Disaster-Task-cb8c0ad55fb44786a558d7874b73f18c?pvs=4) |
7 | 7 |
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8 | 8 | ### Start
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9 | 9 | Python 3.9+
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10 | 10 | ```
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11 | 11 | pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch-nightly -c nvidia
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12 | 12 | conda install pandas, numpy, tqdm, timm, albumentation
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13 | 13 | ```
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14 |
| -- Prepare dataset (disaster or natural images) |
15 |
| -- Use ``train.py, eval.py`` |
16 |
| -- Classifier Model (inception_resnet-v2) **[[Link]](https://drive.google.com/drive/folders/1OhiCNBPpkISCRuQ-8G0Z-HE5Kk9LAUx5?usp=sharing)** |
| 14 | +- Prepare dataset (disaster or non-disaster images) |
| 15 | +- Train, Evaluation code : ``train.py, eval.py`` |
| 16 | +- Classifier model (inception_resnet-v2) **[[Google drive]](https://drive.google.com/drive/folders/1OhiCNBPpkISCRuQ-8G0Z-HE5Kk9LAUx5?usp=sharing)** |
| 17 | + |
| 18 | +### Proposed Method |
| 19 | +- Augment disaster images |
| 20 | + |
| 21 | + <img src="./asset/fig1.jpg" align="center" width="65%"> |
| 22 | + |
| 23 | +- Framework |
| 24 | + |
| 25 | + <img src="./asset/framework.png" align="center" width="70%"> |
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