Learn how duplicate images and objects affect your dataset, and how to detect and remove them using Visual Layer.
Issue | Impact |
---|---|
Storage inefficiency | Duplicates increase dataset size without adding value, consuming compute and storage resources. |
Skewed distributions | Repeated instances of the same image can bias learning, causing overfitting or model redundancy. |
Noise in analysis | Duplicate images can distort statistical metrics or validation scores. |
Annotation clutter | Object-level duplication creates confusion and inconsistencies for downstream models. |