Based on the information extracted from the dataset, below are potential issues related to confusing labels in categorization, per the hint provided:

1. 
```json
{
    “issue”: “Label names are confusing”, 
    “evidence”: “"categories":[{"id":0,"name":"Tumor","supercategory":"none"},{"id":1,"name":"0","supercategory":"Tumor"},{"id":2,"name":"1","supercategory":"Tumor"}]”, 
    “description”: “The categorization of 'Tumor' includes labels '0' and '1' under its superclass. It's unclear what '0' and '1' represent in the context of ‘Tumor’ categorization. Normally, we would expect more descriptive labels to help distinguish between different types or attributes of tumors rather than numeric values which offer no contextual information.”
},
```

These identified issues suggest that the dataset might need a revision in its labeling scheme for clarity and enhanced understanding, especially concerning how tumors are categorized.