In an imbalanced dataset, one class contains significantly more samples than another. This can cause a machine learning model to favor the majority class and perform poorly on minority-class examples.

Sampling describes how many pixels in the sensor represent an image being photographed. If we have too few pixels sampling the object, the image appears “blocky” or “pixelated”, since the smallest ...