If I’m totally honest, I didn’t really see AI image detection tools as being very important until pretty recently. One reason is that it used to be so much easier to see when AI was involved in creating an image than it was to spot GPTisms in text. Lot’s of early LLM-produced imagery had common problems like filling photos with text nobody could read, or adding extra fingers to someone’s hand.
Plus, quite a few image generators do add invisible watermarks or meta data to generated visuals, anyway. The problem is both of those things aren’t quite as dependable as they once were. AI-generated image quality is definitely improving, and creators are getting better at stripping the extra data out of a visual that would usually immediately tip detection tools off.
So, when Pangram announced “Pangram Image” I was immediately interested because, first of all, Pangram is already my favorite AI detector for text, and secondly, the tool’s initial benchmark results are genuinely impressive (99%+ accuracy results across several benchmarks).
Still, I’m always reluctant to accept benchmark scores on their own as proof that a tool’s genuinely worth using, so I had to throw together an experiment of my own.
Continue reading “Pangram Image Review: How Trustworthy is Pangram’s AI Image Detector?”
