Data Quality Assessment in Image Data
I am building on the first part of @Dylan's answer: 

For general items like "dogs" pre-trained models are easily available. A good starting point is ImageNet. There are plenty of pre-trained models available for this dataset, e.g. see here for PyTorch. Since ImageNet includes multiple categories for a given item you can check this list to see which indexes correspond to which items and define a mapping (e.g. dogs are classes 151 to 268).

Once you have done that, manually check the cases for which the labels and the transfer model disagree.