Organization Strategies
By Project
Organize datasets by the project they belong to:- Group related data together
- Use clear naming conventions
- Add descriptions for context
By Data Type
Separate datasets by data format:- Images for 2D annotation
- Point clouds for 3D annotation
- Video sequences
By Stage
Track data through your pipeline:- Raw uploads
- In progress (being annotated)
- Completed (ready for training)
Tagging Best Practices
Use consistent tags for easy filtering:Search and Filter
Avala supports powerful search:Search Operators
field:value- Exact match"quoted phrase"- Phrase match-term- Exclude term
Filterable Fields
Bulk Operations
Select multiple datasets for bulk actions:- Bulk tag: Add or remove tags from many datasets
- Bulk delete: Remove datasets (with confirmation)
- Bulk visibility: Change visibility settings
Dataset Settings
Visibility
Datasets default to Private. Supporting deployments also offer Unlisted for bounded known-link previews and Public for public discovery. Unlisted does not grant editing, workforce, or raw-download rights and does not bypass private owner visibility. See the visibility guide for the complete sharing contract and deployment caveats.Collaborators
Add team members who can view or edit your dataset:- Go to dataset Settings
- Click Add Collaborator
- Search for user by username or email
- Set permission level
Best Practices
- Use descriptive names: “Training Images Batch 3” is better than “data”
- Add descriptions: Help teammates understand the dataset contents
- Tag consistently: Establish tagging conventions for your team
- Archive completed work: Move finished datasets to archive to keep workspace clean