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Using Image Classification (Beta) for Benthic Photo Quadrats
Getting Started
Preparing Your Photos for Image Classification (Beta)
Enabling Image Classification (Beta) for Benthic Photo Quadrats
Uploading and Classifying Photos
Reviewing and Confirming Image Classifications
Navigating the Review Window
Understanding the Model for Image Classification (Beta)
How MERMAID Uses Your Photos
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Creating Fund Indicator Targets and Reports
Entering Fund Indicators F1-F7
Entering Fund Indicators F8-F10
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Uploading and Classifying Photos

Using Image Classification (Beta) for Benthic Photo Quadrats Uploading and Classifying Photos

After enabling Image Classification (Beta) and completing all required fields in the form, click Upload Photos at the bottom of the page. Drag and drop multiple photos or select from your computer. MERMAID will automatically assign a quadrat number for each photo based on the upload sequence. 

Note: 

  • Maximum photo size is 15 MB.

  • Accepted formats are JPEG and PNG. 

  • Minimum dimensions are 1500 x 1500 pixels.

  • You can upload all the photos in a sample unit at once.

GIF showing how to upload photos in batch into a benthic photo quadrat sample unit.
Upload modal for batch uploading photos into a benthic photo quadrat sample unit.

Once uploaded, the MERMAID AI model will immediately begin processing and classifying each photo.

After processing, classified and unclassified points (25 total) appear in the Observations table for each photo, representing separate individual quadrats.

Important Notes on Processing & Classification:

  • Processing time depends on internet connection. With a slow connection, photos may be queued for processing.

  • Classified points have AI model generated predictions with high confidence levels (>50%).

  • Unclassified points appear when the AI model lacks confidence in its predictions (<50%).

All points (classified and unclassified) require user review and confirmation.

An image of the Observations table showing classified/unclassified point status for a photo.
Observations table showing classified/unclassified point status per photo.

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