# Dataset Management

- [Create a Project](/roboflow/roboflow-ko/datasets/create-a-project.md): workspace에 project를 만드세요.
- [Annotation Groups](/roboflow/roboflow-ko/datasets/annotation-groups.md): annotation group이 프로젝트 간에 클래스와 annotation을 공유하는 방법을 알아보세요.
- [Upload Images, Videos, and Annotations](/roboflow/roboflow-ko/datasets/adding-data.md): 이미지, 비디오, annotation을 Roboflow에 업로드하세요.
- [Import Data from Cloud Providers](/roboflow/roboflow-ko/datasets/adding-data/upload-data-from-aws-gcp-and-azure.md): AWS, Azure, GCP에서 이미지와 annotation을 Roboflow로 업로드하세요.
- [AWS S3 Bucket](/roboflow/roboflow-ko/datasets/adding-data/upload-data-from-aws-gcp-and-azure/aws-s3-bucket.md): AWS S3 bucket에서 Roboflow로 이미지를 업로드합니다.
- [Azure Blob Storage](/roboflow/roboflow-ko/datasets/adding-data/upload-data-from-aws-gcp-and-azure/azure-blob-storage.md): Azure Blob Storage에서 Roboflow로 이미지를 업로드합니다.
- [Google Cloud Storage](/roboflow/roboflow-ko/datasets/adding-data/upload-data-from-aws-gcp-and-azure/google-cloud-storage.md): Google Cloud Storage에서 Roboflow로 이미지를 업로드합니다.
- [Import from Roboflow Universe](/roboflow/roboflow-ko/datasets/adding-data/roboflow-universe.md): 프로젝트에서 사용할 수 있도록 Roboflow Universe에서 이미지를 다운로드하거나 복제하세요.
- [Image Metadata](/roboflow/roboflow-ko/datasets/adding-data/image-metadata.md)
- [Manage Datasets](/roboflow/roboflow-ko/datasets/manage-datasets.md)
- [Dataset Batches](/roboflow/roboflow-ko/datasets/manage-datasets/manage-batches.md): batch는 annotation 대시보드에서 추적할 수 있는 이미지와 label의 그룹입니다.
- [Search a Dataset](/roboflow/roboflow-ko/datasets/manage-datasets/dataset-search.md): 텍스트 기반 검색 쿼리를 사용하고 필터를 설정하여 Roboflow의 dataset을 더 잘 이해하세요.
- [Set Dataset Classes](/roboflow/roboflow-ko/datasets/manage-datasets/manage-classes.md): project에서 class를 잠그거나, 재매핑하거나, 삭제합니다.
- [Add Tags to Images](/roboflow/roboflow-ko/datasets/manage-datasets/add-tags-to-images.md): image tag로 dataset 구성을 개선하세요.
- [Create an Annotation Attribute](/roboflow/roboflow-ko/datasets/manage-datasets/create-an-annotation-attribute.md): dataset를 정리하는 데 사용할 수 있도록 annotation에 속성을 추가할 수 있습니다.
- [Download an Image](/roboflow/roboflow-ko/datasets/manage-datasets/download-an-image.md)
- [Delete an Image](/roboflow/roboflow-ko/datasets/manage-datasets/delete-an-image.md): Roboflow Project에서 이미지를 삭제합니다.
- [Dataset Versions](/roboflow/roboflow-ko/datasets/dataset-versions.md)
- [Create a Dataset Version](/roboflow/roboflow-ko/datasets/dataset-versions/create-a-dataset-version.md): 모델 학습에 사용할 dataset version을 만드세요.
- [Preprocess Images](/roboflow/roboflow-ko/datasets/dataset-versions/image-preprocessing.md): 모델을 위해 데이터를 준비하는 image preprocessing 단계입니다.
- [Image Augmentation](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation.md): 모델 성능을 향상시키기 위해 augmented image를 만드세요.
- [Augmentation Types](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/augmentation-types.md)
- [Flip Augmentation](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/augmentation-types/flip-augmentation.md)
- [90º Rotate Augmentation](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/augmentation-types/90o-rotate-augmentation.md)
- [Crop Augmentation](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/augmentation-types/crop-augmentation.md)
- [Rotation Augmentation](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/augmentation-types/rotation-augmentation.md)
- [Shear Augmentation](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/augmentation-types/shear-augmentation.md)
- [Grayscale Augmentation](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/augmentation-types/grayscale-augmentation.md)
- [Hue Augmentation](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/augmentation-types/hue-augmentation.md)
- [Saturation Augmentation](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/augmentation-types/saturation-augmentation.md)
- [Brightness Augmentation](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/augmentation-types/brightness-augmentation.md)
- [Exposure Augmentation](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/augmentation-types/exposure-augmentation.md)
- [Blur Augmentation](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/augmentation-types/blur-augmentation.md)
- [Noise Augmentation](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/augmentation-types/noise-augmentation.md)
- [Cutout Augmentation](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/augmentation-types/cutout-augmentation.md)
- [Mosaic Augmentation](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/augmentation-types/mosaic-augmentation.md)
- [Motion Blur Augmentation](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/augmentation-types/motion-blur-augmentation.md)
- [Camera Gain Augmentation](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/augmentation-types/camera-gain-augmentation.md)
- [Add Augmentations to Images](/roboflow/roboflow-ko/datasets/dataset-versions/image-augmentation/add-augmentations-to-images.md)
- [Delete a Version](/roboflow/roboflow-ko/datasets/dataset-versions/delete-a-version.md): 프로젝트에서 생성한 시점별 version을 삭제할 수 있습니다.
- [Dataset Analytics](/roboflow/roboflow-ko/datasets/dataset-health-check.md): dataset의 품질을 평가하고 개선하세요.
- [Merge Projects](/roboflow/roboflow-ko/datasets/merge-datasets.md): 같은 workspace에 있는 프로젝트를 결합합니다.
- [Rename a Project](/roboflow/roboflow-ko/datasets/rename-a-project.md)
- [Delete a Project](/roboflow/roboflow-ko/datasets/delete-a-project.md): Roboflow에서 계정의 project를 삭제하는 방법을 알아보세요.
- [Project Folders](/roboflow/roboflow-ko/datasets/project-folders.md)
- [Project Folder Permissions](/roboflow/roboflow-ko/datasets/project-folders/project-folder-permissions.md)
- [Make a Project Public](/roboflow/roboflow-ko/datasets/make-a-project-public.md): Roboflow Universe에서 컴퓨터 비전 dataset과 model을 전 세계와 공유하세요.
- [Download a Dataset](/roboflow/roboflow-ko/datasets/download-a-dataset.md): 로컬 학습을 위해 이미지와 annotation으로 구성된 dataset을 내보내세요.