DeepQ AI Platform
DeepQ AI Platform
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    • 📐DeepCap (Image Annotation Module)
      • 🖼️Dataset(s)
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    • ⬆️Upload & Manage Image Data
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      • Combine Datasets
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      • Create Annotation Project
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On this page
  • Select Datasets
  • Select Annotation Types
  • Review & Combine
  1. Use Cases
  2. Upload & Manage Image Data

Combine Datasets

PreviousData FormatsNextCreate & Run Annotation Project

Last updated 11 months ago

  • Users can create new datasets by combining existing datasets.

  • Click on the "COMBINE" tab at the upper right corner of the Dataset list

Rules of Dataset combination

  • If all source datasets are images, the combined result will consist only images.

  • A new label will be created in the combined result if at least one label is selected from source datasets.

  • Only the same type (classification, detection, segmentation) of labels can be combined.

  • Dicom images will be converted to png format if the combination involves mixed image formats.

Select Datasets

First step requires the user to choose source datasets.

Select Annotation Types

Review & Combine

Once the combination is successfully processed, the result can be viewed and managed in the dataset list

⬆️
Select "Combine" at the upper right corner to start combining datasets
Step #1 of combine dataset shows the list of all uploaded datasets, with or without annotation
Select more than one datasets to combine
The system will list all the labels of the selected type from each source dataset for the user to select.
The last step requires the user to review the combination setting and name the combined dataset.
Select "Combine" at the upper right corner to start combining datasets
Step #1 of combine dataset shows the list of all uploaded datasets, with or without annotation
Select more than one datasets to combine
The system will list all the labels of the selected type from each source dataset for the user to select.
The last step requires the user to review the combination setting and name the combined dataset.