📁Manage Dataset

Easily organize, modify, and control the lifecycle of your annotated images.

🧭 Accessing Your Dataset

1. Go to your Project Dashboard

2. Click on the "Dataset" tab to open the dataset associated with your project

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✏️ Edit or Remove Draft Images

• Click any Draft image to open it in the annotation editor

• Make changes (e.g., update labels, adjust shapes)

• Remove unwanted images before releasing a version

🔄 Draft images can be modified at any time until they are submitted

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✅ Submit Images

• After editing, click Submit to mark the image as finalized for the next dataset version

• Submitted images are locked and will be included in the version release

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🔁 Version History

• View all released dataset versions

• Click any version to browse the exact images and annotations included

• Use this to compare versions or roll back if needed

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🧩 Use Cases for Dataset Management

• Clean up and verify annotation quality before releasing

• Organize large datasets into manageable subsets

• Track progress between different stages of review or training

• Maintain a clear audit trail of annotation updates

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Here’s an updated version of the documentation with your instructions, written clearly for your users:

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📤 Exporting Your Dataset

You can export your annotated dataset in various formats directly from the Jtheta platform.

🔽 How to Export Data:

1. Go to the Dataset

   • Open the project that contains the dataset you want to export.

2. Choose a Version

   • Before downloading, you’ll see a version selector.

   • By default, the latest version is selected.

   • You can choose an older version if needed.

3. Click the "Download" Button

   • After selecting the version, click the Download button to begin the export.

4. Select Export Format

   • Choose from the following supported formats:

     • COCO

     • CSV

     • JSON

     • Excel (XLS/XLSX)

5. Download Begins Automatically

   • Your dataset will be packaged and downloaded in the format you selected.

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📁 Supported Export Formats

Format	Best For
COCO	Training computer vision models (bounding boxes, polygons, segmentation)
CSV	Simple annotation summaries in row format
JSON	Structured data for integrations and custom tools
Excel	Easy sharing, filtering, and viewing in spreadsheets

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💡 Tip: Always check the version before downloading to make sure you're exporting the correct snapshot of your data.

Let me know if you want to add UI screenshots or step-by-step visuals!

🔐 Permissions

• Annotators can view and edit draft images

• Reviewers and Admins can submit images and release versions