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docs.binaexperts.com
  • Introduction
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  • Organization
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  • Datasets
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      • Uploading Video
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    • Preprocessing Images
    • Creating Augmented Images
    • Add Tags to Images
    • Manage Categories
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    • Health Check
    • Merge Projects and Datasets
    • Delete an Image
    • Delete a Project
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      • DETECTRON2 FASTER RCNN
      • RETINANET
    • dataset healthcheck
      • Distribution of annotations based on their size relative
      • Distribution of annotations based on their size relative
    • TensorBoard
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  • Deployment
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    • Introducing the BinaExperts SDK
  • ابزارهای نشانه گذاری
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    • DETECTRON2 FASTER RCNN
  • تست سلامت دیتاست
    • توزیع اندازه نسبی
    • رسم نمودار توزیع
  • تنسوربرد
  • ابرمقادیر
  • ابرمقادیر پیشرفته
    • YAML (یامل)
    • اندازه تصویر
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    • کنترل دسترسی مبتنی بر نقش
  • مجموعه داده ها
    • ایجاد یک پروژه
    • بارگذاری داده‌ها
      • بارگذاری ویدیو
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    • پیش‌پردازش تصاویر
    • ایجاد تصاویر افزایش یافته
    • افزودن تگ به تصاویر
    • مدیریت کلاس‌ها
  • برچسب گذاری
    • Page 3
  • آموزش
    • Page 4
  • استقرار
    • Page 5
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  1. Datasets

Merge Projects and Datasets

Combine projects and datasets that exist within the same organization.

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Last updated 1 year ago

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You can combine projects and datasets together to make a single project in which you can train a model.

If you have Project A and Project B and merge them to create Project C, Project C will be composed of the unique images joined from Projects A and B. Projects A and B will also still exist in the Workspace, not be eliminated.

How to Merge Projects

To merge projects:

  1. Hover your mouse on the three dots on the right side of one of the datasets you wish to include the merged dataset. Click the highlighted button (three horizontal dots), and select "Merge Datasets."

  2. Select the datasets you wish to merge by clicking the checkboxes on the right side of each dataset.

  3. Click "Merge Datasets" in the upper-right corner.

  4. Name your new dataset and new annotation group click "Merge Datasets."

The merged dataset will contain the images (and any associated annotations) present at the time of merging.

In addition to the merged dataset, you retain the original datasets. In the above example, there are three datasets: the two originals and the newly merged dataset.

The best part is, because the merged dataset consists of copies of other photos, you aren't charged for extra images!