> 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/datasets/create-and-upload.md).

# Create & Upload

- [Create a Project](https://docs.roboflow.com/datasets/create-and-upload/create-a-project.md): Create a project in your workspace.
- [Upload Images, Videos, and Annotations](https://docs.roboflow.com/datasets/create-and-upload/adding-data.md): Upload images, videos, and annotations to Roboflow.
- [Datasources](https://docs.roboflow.com/datasets/create-and-upload/adding-data/datasources.md): Automatically sync images and metadata from external storage into your Roboflow workspace.
- [Datasource Credentials](https://docs.roboflow.com/datasets/create-and-upload/adding-data/datasource-credentials.md): Create and manage reusable credentials for Datasources.
- [AWS S3 Credentials](https://docs.roboflow.com/datasets/create-and-upload/adding-data/datasource-credentials/aws-s3.md): Create AWS credentials securely for S3 Datasources.
- [Google Cloud Storage Credentials](https://docs.roboflow.com/datasets/create-and-upload/adding-data/datasource-credentials/gcs.md): Create Google Cloud credentials securely for GCS Datasources.
- [Datasource Policy Examples](https://docs.roboflow.com/datasets/create-and-upload/adding-data/datasource-policy-examples.md): S3 policy examples for configuring Datasources in Roboflow.
- [Upload Data from Cloud Providers](https://docs.roboflow.com/datasets/create-and-upload/adding-data/upload-data-from-aws-gcp-and-azure.md): Upload images and annotations from AWS, Azure and GCP to Roboflow.
- [AWS S3 Bucket](https://docs.roboflow.com/datasets/create-and-upload/adding-data/upload-data-from-aws-gcp-and-azure/aws-s3-bucket.md): Upload Images from an AWS S3 bucket to Roboflow
- [Azure Blob Storage](https://docs.roboflow.com/datasets/create-and-upload/adding-data/upload-data-from-aws-gcp-and-azure/azure-blob-storage.md): Upload Images from Azure Blob Storage to Roboflow
- [Google Cloud Storage](https://docs.roboflow.com/datasets/create-and-upload/adding-data/upload-data-from-aws-gcp-and-azure/google-cloud-storage.md): Upload Images from Google Cloud Storage to Roboflow
- [Import from Roboflow Universe](https://docs.roboflow.com/datasets/create-and-upload/adding-data/roboflow-universe.md): Download or clone images from Roboflow Universe for use in your projects.
- [Image Metadata](https://docs.roboflow.com/datasets/create-and-upload/adding-data/image-metadata.md): Attach custom key-value metadata to images so you can search, filter, and organize your dataset.
- [Upload a Dataset](https://docs.roboflow.com/datasets/create-and-upload/upload-a-dataset.md): Upload a structured dataset of images and annotations to a Roboflow project with the Python SDK.
- [Download a Dataset](https://docs.roboflow.com/datasets/create-and-upload/download-a-dataset.md): Export your dataset of images and annotations for training locally.