Several of our internal teams have arrived at similar conclusions when comparing AWS models to pre-trained open source models. Specifically; zero shot CLIP, and a fine-tuned ResNet (ImageNet) out performed Rekognition on various classification tasks (both on internal data sourced from 9 e-commerce catalogs, as well as on Google Open Image v6). Zero shot DETIC out performs it on image tagging. We even collaborated with a technical team at AWS to ensure these comparisons were as favorable as possible (truncating some classes from our data, combining others, etc...).