List computer-vision projects in your Ultralytics workspace.

Get details for one project by id, slug, username/slug, or project ul:// URI.

Search public projects on Ultralytics Explore.

List datasets in your Ultralytics workspace.

Get details for one dataset by id, slug, username/slug, or dataset ul:// URI.

Search public datasets on Ultralytics Explore.

List images in a dataset with optional filtering.

Get export link for latest or one frozen dataset version.

List models in a project by project id, slug, username/slug, or project ul:// URI.

Get one model by id, or by slug plus project.

Get current cloud-GPU stock status by GPU type.

Report a model's training status and progress (works for private and public projects).

Run inference with a trained model on an image URL or base64 source (no local file paths).

List export jobs for a model.

Get status for one export job by 24-character export id.

Download one trained model weight file to an explicit local path.

Create a project in your Ultralytics workspace.

Soft-delete a project by id, slug, username/slug, or project ul:// URI.

Create a dataset in your Ultralytics workspace.

Create a frozen dataset version snapshot.

Soft-delete a dataset by id, slug, username/slug, or dataset ul:// URI.

Start a remote URL ingest job for an existing dataset.

Upload a local dataset archive file and start ingest for an existing dataset.

Upload a local image folder as a zip and start ingest for an existing dataset.

Upload a local video by extracting JPEG frames with ffmpeg, then start dataset ingest for an existing dataset.

Delete a model by id, or by slug plus project.

Create a model export job (state-changing, may cost credits). Requires confirm_cost=true.

Start a cloud training job from an existing model or official YOLO base checkpoint (state-changing, may cost credits). Requires confirm_cost=true.