That's the problem with convolutional neural networks. There are collisions with even random noise and small specific alterations of images cause classification failures on images that are obvious to humans.Google images image search is pretty cool but still delivers some strange results.
A photo of a specific connector returned Lego Blocks. A photo of a drawer pull from a piece of old furniture I refinished returned a raccoon image.
https://forum.allaboutcircuits.com/...rn-faster-than-ai-for-now.146468/post-1254768
https://forum.allaboutcircuits.com/...rn-faster-than-ai-for-now.146468/post-1246374
https://forum.allaboutcircuits.com/...rn-faster-than-ai-for-now.146468/post-1246237