{"id":24300604,"url":"https://github.com/23tae/image2label","last_synced_at":"2026-04-17T22:32:30.348Z","repository":{"id":236985847,"uuid":"793186794","full_name":"23tae/image2label","owner":"23tae","description":"Image detection and CSV export tool powered by Amazon 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파일 형식으로 저장하는 프로그램\n\n## Functionality\n\n- [Amazon S3](https://aws.amazon.com/s3/) 버킷에 연결하여 이미지를 찾는다.\n- Rekognition을 사용하여 각 이미지에서 레이블을 감지한다.\n- \"labels\" 디렉토리 내에 각 이미지별 CSV 파일(레이블, 신뢰도 점수)을 저장한다.\n\n## Prerequisites\n\n- Amazon Web Services (AWS) 계정: Amazon Rekognition 서비스에 액세스할 수 있는 AWS 계정\n- Python\n- 의존성 패키지: 필요한 의존성 패키지를 설치하기 위해 아래 명령을 실행:\n\n  ```shell\n  pip install -r requirements.txt\n  ```\n\n- Amazon S3 버킷에 이미지 업로드\n- 환경 변수: env.sample 파일을 복사하여 `.env` 파일을 생성하고, 이미지가 위치한 S3 버킷의 이름과 폴더명을 설정\n- AWS CLI credentials 설정 ([참고](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html))\n\n## Usage\n\n- 프로그램 실행\n\n  ```py\n  python3 main.py\n  ```\n\n- `labels/` 에서 csv 파일 확인\n\n## Output example\n\n| 이미지                          | 결과                                                                 |\n|----------------------------------|---------------------------------------------------------------------|\n| ![image1](/assets/images/image1.jpg) | **Label,Confidence**\u003cbr\u003eNature,100.0\u003cbr\u003eOutdoors,100.0\u003cbr\u003ePond,100.0\u003cbr\u003eWater,100.0\u003cbr\u003eLand,99.99502563476562\u003cbr\u003eScenery,98.19378662109375\u003cbr\u003ePerson,97.50032043457031\u003cbr\u003eBench,97.08635711669922\u003cbr\u003eSwamp,96.99015808105469\u003cbr\u003eConstruction Crane,96.9571762084961 |\n| ![image2](/assets/images/image2.jpg) | **Label,Confidence**\u003cbr\u003eIndoors,99.99805450439453\u003cbr\u003eRestaurant,99.99805450439453\u003cbr\u003eCafeteria,99.98191833496094\u003cbr\u003eCafe,99.89547729492188\u003cbr\u003ePerson,99.45893096923828\u003cbr\u003eChair,99.38227844238281\u003cbr\u003eCup,99.03710174560547\u003cbr\u003eLamp,98.38184356689453\u003cbr\u003eSpeaker,96.35136413574219\u003cbr\u003ePlywood,95.61605072021484 |\n| ![image3](/assets/images/image3.jpg) | **Label,Confidence**\u003cbr\u003eCity,99.97466278076172\u003cbr\u003eRoad,99.97466278076172\u003cbr\u003eStreet,99.97466278076172\u003cbr\u003eUrban,99.97466278076172\u003cbr\u003eNeighborhood,99.74077606201172\u003cbr\u003eTruck,99.69886016845703\u003cbr\u003ePerson,99.37333679199219\u003cbr\u003eBox,99.04634857177734\u003cbr\u003eCar,98.82805633544922\u003cbr\u003eShoe,98.06107330322266 |","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F23tae%2Fimage2label","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F23tae%2Fimage2label","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F23tae%2Fimage2label/lists"}