Photography Editing Company
Helped a professional photography studio explore AI solutions for automated photo classification. We evaluated both traditional machine learning approaches and cutting-edge APIs for categorizing profile photos based on content features. Initial testing with conventional image classification achieved 65% accuracy, which fell short of the studio's quality requirements.
After pivoting to test the OpenAI image classification API, we developed comprehensive testing and reporting infrastructure to evaluate its capabilities. However, detailed analysis revealed inconsistent performance across photographs with diverse skin tones, highlighting important limitations in the current technology's ability to handle varied demographics equitably.
While the research project ultimately determined that current AI classification technology wasn't sufficiently reliable for production use, the exploration provided valuable insights into both the capabilities and limitations of AI in professional photography workflows. This careful evaluation process helped the studio make an informed decision about AI adoption while maintaining their commitment to serving all clients equally.