I Built an AI Model That Outperformed AWS and Google on Image Moderation
I started working on Blue-Eye because I was curious about something: how difficult would it actually be to build an image moderation model that could compete with the commercial APIs everyone uses?
If you're building anything that allows user-uploaded images, content moderation eventually becomes a problem you have to deal with. The straightforward approach is to integrate something like AWS Rekognition or Google Cloud Vision. They handle the infrastructure, you send an image, and you get a moderation result back. It's convenient, but you're also paying for requests and relying on someone else's model, with limited control over how it makes decisions.
There are open models available too, of course, but I wanted to see how far I could push one myself. Not by training some enormous vision model from scratch, but by taking a strong pretrained model, fine-tuning it for a specific task, and seeing how it compared with...
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