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Working with Projects

On the Repli5 platform, Projects let you group datasets, saved workflow templates, and augmentation runs into dedicated workspaces for a specific product line, part family, or team—while still allowing you to work standalone under All Projects whenever you prefer.

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Creating & Switching Projects

  • Create a Project: In the left sidebar under Projects, click + New, enter a project Name and optional Description, and click Create project.
  • Switch Projects: Click any project in the sidebar (or click More projects / use the search box if you have more than 5 projects).
  • Automatic Scoping & Last-Used Workflow: Selecting a project scopes your Data Library, saved Templates, and Augment History to that project, and automatically opens the workflow that was last used in that project. Click All Projects in the sidebar at any time to return to your unscoped personal view.

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Managing Project Datasets, Team Members & Settings

Click the ⋮ action menu next to any project in the left sidebar to:
  • Manage Datasets: Attach existing datasets from your Data Library to the project or remove datasets from the project.
  • Manage Users: Invite teammates by email and assign roles (Owner or Member) so your team can share datasets, templates, and augmentation runs.
  • Rename / Edit Project: Update the project’s name or description.
  • Pin to Top: Keep frequently used projects pinned at the top of your sidebar list.
  • Duplicate Project: Clone a project’s setup into a new project.
  • Delete Project: Remove the project workspace when it is no longer needed.

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Uploading Datasets to the Data Library

Navigate to Data Library in the left sidebar to upload and manage datasets on the Repli5 platform.

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Supported .zip Upload Formats (Up to 10 GB)

You can upload a .zip archive in either Images-Only format (for Defect Generation or Variation Generator) or Multi-Modal format:

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Inspecting, Tagging & Exporting Datasets

Opening any dataset in the Data Library gives you full control over individual datapoints before and after augmentation:
  1. Full-Resolution Inspection & Overlays: Click any datapoint to inspect rgb_raw vs. rgb_out, toggle segmentation masks or bounding boxes, and zoom/pan at full resolution.
  2. Datapoint Tagging & Filtering:
    • Create custom tags and assign them to individual datapoints (or mark unwanted samples with the reject tag).
    • Use the Tag Filter Bar at the top of the dataset view to include or exclude specific tags.
  3. Exporting & Downloading Datasets:
    • Click Download (or Export) on any dataset in the Data Library.
    • When exporting a tagged dataset, you can include or exclude specific tags (any datapoints tagged reject are excluded by default) and download a ready-to-train .zip archive containing your images, segmentation masks, annotations_coco.json, and tags.json.