I have also encountered this problem! And there is another post about it! This is what I encountered! I am using the https://www.kaggle.com/datasets/innominate817/hagrid-classification-512p/ dataset, and subsampling from it. I also get an error in the pretraining, feature extraction phase: Human Hand Pose Detector was given zero-dimensioned image (0 x 0). I have tried sampling the first x of each of the 18 classes of handpose images in the datatset. I find that if x = 200 (3600 images) or less, everything runs fine, but if x = 300 (5400 images), I get this error, around the late 4000s of file extraction/prep. I have checked a couple things: Every Image in the dataset has been checked to ensure it is not actually a zero dimensional image via a python script with PIL. I get the same error if I use images 1-200 plus 201-300 as when I use images 1-200 plus 301-400. So i do not believe there is an issue with a particular image. It seems as though there is a cap on the number of images allowed in a createML workspace, though I am not sure why. Thank you!

I am encountering a similar error. I am using the https://www.kaggle.com/datasets/innominate817/hagrid-classification-512p/ dataset, and subsampling from it. I also get an error in the pretraining, feature extraction phase: Human Hand Pose Detector was given zero-dimensioned image (0 x 0). I have tried sampling the first x of each of the 18 classes of handpose images in the datatset. I find that if x = 200 (3600 images) or less, everything runs fine, but if x = 300 (5400 images), I get this error, around the late 4000s of file extraction/prep. I have checked a couple things: Every Image in the dataset has been checked to ensure it is not actually a zero dimensional image via a python script with PIL. I get the same error if I use images 1-200 plus 201-300 as when I use images 1-200 plus 301-400. So i do not believe there is an issue with a particular image. It seems as though there is a cap on the number of images allowed in a createML workspace, though I am not sure why. Thank you!