CoreViz – Studio

Culling Photos with AI

Learn how to automatically cull photos using AI to identify blurry, over-exposed, and poorly composed images

As a photographer, sorting through thousands of images to find the best shots can be time-consuming and tedious. CoreViz's AI-powered culling feature automatically identifies and tags common photo issues, helping you quickly separate the keepers from the rejects and streamline your workflow.

Video Tutorial

Watch this comprehensive tutorial to see CoreViz's photo culling features in action:

Video tutorial: AI-Powered Photo Culling with CoreViz

Getting Started

Setting Up Your Culling Workflow

  1. Create Your Account: If you don't have one already, sign up for CoreViz to get started
  2. Create a New Collection: Set up a dedicated collection for your photo culling project in CoreViz Lab
  3. Configure AI Tags: Set up the four essential tags for photo quality assessment
  4. Upload Your Photos: Bulk upload your images for automatic analysis
  5. Review Results: Quickly review and download your curated selection

Essential AI Tags for Photo Culling

CoreViz uses four key tags to automatically assess photo quality:

Good Quality Tag:

  • Identifies photos that are sharp, well-exposed, and properly composed
  • Excludes images with closed eyes, awkward poses, or technical issues
  • Your go-to tag for final selections

Eyes Closed Tag:

  • Detects when subjects have their eyes closed or partially closed
  • Helps eliminate photos where the main subject isn't looking at the camera
  • Essential for portrait and event photography

Blurry Tag:

  • Identifies out-of-focus or motion-blurred images
  • Catches camera shake, subject movement, and focus issues
  • Saves time by removing technically flawed shots

Bad Exposure Tag:

  • Detects over-exposed and under-exposed images
  • Identifies photos with poor lighting or exposure problems
  • Helps maintain consistent image quality

Advanced Culling Features

Bulk Tagging Workflow

  1. Navigate to Workflows: Access the tagging section in your CoreViz Lab dashboard
  2. Create Custom Tags: Set up your quality assessment tags with specific criteria
  3. Configure Detection Settings: Choose whether to detect objects, faces, or focus on quality only
  4. Run Analysis: Let AI process your entire collection automatically

Real-Time Processing

  • Live Tagging: Tags appear in real-time as images upload
  • Instant Feedback: See results immediately without waiting for batch processing
  • Progress Tracking: Monitor the analysis progress for large collections

Best Practices

Tag Configuration Tips

  • Be Specific: Use detailed descriptions for your "Good" tag criteria
  • Test First: Run a small batch to verify tag accuracy
  • Customize Colors: Use different colors for easy visual identification
  • Regular Updates: Refine your criteria based on results

Quality Control

  • Always Review: Don't rely solely on AI - human judgment is essential
  • Check Edge Cases: Review borderline images manually
  • Batch Verification: Spot-check each tag category for accuracy
  • Iterate and Improve: Adjust your workflow based on results

Next Steps

After mastering photo culling:

Culling Success

The key to efficient photo culling is combining AI automation with human judgment. Let CoreViz handle the initial sorting, then use your expertise to make the final selections that best represent your work.