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Mid Space Viewer

Mid Space Viewer

Select and view image pairs with labels and scores

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What is Mid Space Viewer ?

Mid Space Viewer is an advanced tool designed to facilitate the exploration and comparison of image pairs. It is particularly useful for analyzing images with associated labels and scores, making it a valuable resource for researchers, developers, and professionals working with image data.

Features

• Side-by-Side Viewing: Compare two images simultaneously for detailed analysis.
• Label and Score Display: Displays labels and scores associated with each image for easy reference.
• Interactive Zoom: Zoom in on specific areas of the images to inspect details.
• Score Comparison: Easily compare scores of image pairs to identify patterns or discrepancies.
• Export Functionality: Save or export image pairs along with their labels and scores for further analysis.
• User-Friendly Interface: Intuitive design that simplifies the process of working with image pairs.

How to use Mid Space Viewer ?

  1. Launch the Application: Open Mid Space Viewer on your device.
  2. Import Image Pairs: Load the image pairs you wish to analyze by selecting them from your local storage or a connected dataset.
  3. Interact with the Viewer: Use the side-by-side interface to visualize and compare images. Adjust zoom levels as needed.
  4. Review Labels and Scores: Examine the associated labels and scores for each image pair to make informed decisions or analyses.
  5. Export Data (Optional): If required, export the image pairs along with their labels and scores for external use or documentation.

Frequently Asked Questions

What formats does Mid Space Viewer support?
Mid Space Viewer supports common image formats such as JPG, PNG, and BMP, as well as CSV or JSON files for labels and scores.

How can I zoom in on specific areas of the images?
Use the zoom tool or pinch-to-zoom gesture (on touch devices) to focus on specific details within the images.

Can I update the labels and scores within the application?
No, Mid Space Viewer is designed for viewing and comparison. To update labels or scores, you must modify the source data externally before importing it into the application.

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