Filter null is a basic operation in dataset preprocessing. It identifies and removes invalid images from the dataset, such as those with no valid content, pure black/white, unreadable due to corruption, or without corresponding annotations, ensuring dataset quality and preventing invalid samples from interfering with model training and evaluation.
