> For the complete documentation index, see [llms.txt](https://docs.roboflow.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.roboflow.com/models/ko/readme.md).

# 모델

Roboflow에서 컴퓨터 비전 모델을 학습하고, 평가하고, 선택하세요.

데이터셋으로 최신 컴퓨터 비전 모델을 학습하세요 - ML 전문 지식이나 GPU 설정은 필요 없습니다. Roboflow가 학습 인프라를 관리하고, 결과 모델을 배포용으로 호스팅합니다.

## 선택 및 학습

<table data-view="cards" data-search="false"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="image">표지 이미지</th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>지원되는 모델</strong></td><td>Roboflow에서 학습, 업로드 또는 배포할 수 있는 모든 모델과 각 모델이 실행되는 위치입니다.</td><td><a href="https://2225311784-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fcmo9mhfIjYrvFFy1U7dk%2Fuploads%2Fgit-blob-abf553afcd5c7c36f61a0e03f14f94095beb3e7d%2Fimg-card-docs-models.png?alt=media">img-card-docs-models.png</a></td><td><a href="/models/ko/supported-models.md">지원되는 모델</a></td></tr><tr><td><strong>모델 학습</strong></td><td>대시보드, API, SDK 또는 CLI에서 학습 작업을 시작하세요.</td><td><a href="https://2225311784-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fcmo9mhfIjYrvFFy1U7dk%2Fuploads%2Fgit-blob-5dd99ffe974a82c8d00e16291671c79daa8550a1%2Fimg-card-guide-train.png?alt=media">img-card-guide-train.png</a></td><td><a href="/models/ko/train/train-a-model.md">모델 학습</a></td></tr><tr><td><strong>Roboflow Instant</strong></td><td>첫 승인된 주석으로 자동 학습된 모델.</td><td><a href="https://2225311784-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fcmo9mhfIjYrvFFy1U7dk%2Fuploads%2Fgit-blob-1c8cc06c938bc39354a77f1c7c72e9a5452c3520%2Fimg-card-guide-instant.svg?alt=media">img-card-guide-instant.svg</a></td><td><a href="/models/ko/train/roboflow-instant.md">Roboflow Instant</a></td></tr><tr><td><strong>Neural Architecture Search</strong></td><td>새로운 아키텍처를 발견하고 미세 조정하세요.</td><td><a href="https://2225311784-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fcmo9mhfIjYrvFFy1U7dk%2Fuploads%2Fgit-blob-1607e8cca7543af75a0efee692066f16aec69748%2Fimg-card-guide-nas.svg?alt=media">img-card-guide-nas.svg</a></td><td><a href="/models/ko/train/neural-architecture-search.md">신경망 아키텍처 탐색</a></td></tr><tr><td><strong>Roboflow Rapid</strong></td><td>소량의 데이터 샘플로 몇 분 만에 작동하는 모델을 만드세요.</td><td><a href="https://2225311784-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fcmo9mhfIjYrvFFy1U7dk%2Fuploads%2Fgit-blob-47c0f8870c4922cc5cf58f7595f6f120414d1f74%2Fimg-card-guide-rapid.svg?alt=media">img-card-guide-rapid.svg</a></td><td><a href="/models/ko/rapid/rapid.md">Roboflow Rapid란 무엇인가요?</a></td></tr><tr><td><strong>체크포인트에서 학습</strong></td><td>기존 Roboflow Universe 모델에서 학습을 시작하세요.</td><td><a href="https://2225311784-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fcmo9mhfIjYrvFFy1U7dk%2Fuploads%2Fgit-blob-0eeb5371c5ba6068663d267cc2690b4717230ccf%2Fimg-card-guide-checkpoint.svg?alt=media">img-card-guide-checkpoint.svg</a></td><td><a href="/models/ko/train/roboflow-universe-checkpoints.md">Universe 체크포인트에서 학습</a></td></tr></tbody></table>

다음의 타사 체크포인트에서도 학습할 수 있습니다 [Azure Vision](/models/ko/train/pro-third-party-training-integrations.md) 또는 [Google Cloud](/models/ko/train/train-from-google-cloud.md).

## 평가 및 이해

<table data-view="cards" data-search="false"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="image">표지 이미지</th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>학습된 모델 평가</strong></td><td>평가 실행, mAP, 혼동 행렬.</td><td><a href="https://2225311784-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fcmo9mhfIjYrvFFy1U7dk%2Fuploads%2Fgit-blob-8990b224c7cbd41b1b0c1400e99e718201532b7e%2Fimg-card-guide-evaluate.svg?alt=media">img-card-guide-evaluate.svg</a></td><td><a href="/models/ko/evaluate/evaluate-trained-models.md">학습된 모델 평가</a></td></tr><tr><td><strong>학습 결과</strong></td><td>완료된 학습 작업의 지표와 그래프를 검토하세요.</td><td><a href="https://2225311784-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fcmo9mhfIjYrvFFy1U7dk%2Fuploads%2Fgit-blob-4df10dd174ff3efdd9ddd4f5ea8cbdab07085160%2Fimg-card-guide-results.svg?alt=media">img-card-guide-results.svg</a></td><td><a href="/models/ko/evaluate/training-results.md">학습 결과 보기</a></td></tr><tr><td><strong>학습된 모델 보기</strong></td><td>작업공간에서 학습된 모델을 둘러보세요.</td><td><a href="https://2225311784-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fcmo9mhfIjYrvFFy1U7dk%2Fuploads%2Fgit-blob-bcf3449b33faf68b9748f44393479e29c6730dfb%2Fimg-card-guide-viewmodels.png?alt=media">img-card-guide-viewmodels.png</a></td><td><a href="/models/ko/evaluate/view-trained-models.md">학습된 모델 보기</a></td></tr><tr><td><strong>학습 해상도</strong></td><td>각 모델 유형에서 사용된 입력 해상도를 확인하세요.</td><td><a href="https://2225311784-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fcmo9mhfIjYrvFFy1U7dk%2Fuploads%2Fgit-blob-362a91c24de4a1046c16f63a42d9f185519c5932%2Fimg-card-guide-resolutions.png?alt=media">img-card-guide-resolutions.png</a></td><td><a href="/models/ko/evaluate/training-resolutions-by-model-type.md">모델 유형별 학습 해상도</a></td></tr><tr><td><strong>버전, 학습, 및 모델</strong></td><td>데이터셋, 학습 작업, 모델이 서로 어떻게 연관되는지.</td><td><a href="https://2225311784-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fcmo9mhfIjYrvFFy1U7dk%2Fuploads%2Fgit-blob-104d493d3f8068f26daee8179931b8e57a5a4eb1%2Fimg-card-guide-versions.svg?alt=media">img-card-guide-versions.svg</a></td><td><a href="/models/ko/versions-trainings-and-models.md">버전, 학습, 그리고 모델</a></td></tr><tr><td><strong>모델 ID</strong></td><td>배포하거나 추론을 실행할 때 모델이 어떻게 식별되는지.</td><td><a href="https://2225311784-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fcmo9mhfIjYrvFFy1U7dk%2Fuploads%2Fgit-blob-275ee06a9de9d004599951785dcdc8205b8f59ee%2Fimg-card-guide-modelids.svg?alt=media">img-card-guide-modelids.svg</a></td><td><a href="/models/ko/model-ids.md">모델 ID</a></td></tr></tbody></table>

학습된 모델은 다음을 통해 배포됩니다 [Serverless Cloud API](https://docs.roboflow.com/deployment/roboflow-cloud/serverless-api), [전용 배포](https://docs.roboflow.com/deployment/roboflow-cloud/dedicated-deployments), 또는 [자가 호스팅 추론](https://docs.roboflow.com/deployment/self-hosted/self-hosted).
