Understand how overexposed or excessively bright images affect dataset quality and how to detect and correct them using Visual Layer.
Problem | Impact |
---|---|
Loss of detail | Overexposure reduces contrast and texture, especially in highlights. |
Color distortion | Washed-out areas may appear inaccurate or completely white, affecting labeling or recognition. |
Lower model performance | Vision algorithms may struggle to detect or segment bright objects due to low edge visibility. |
Visual quality degradation | In public-facing use cases, poor exposure impacts perceived quality and credibility. |