The Visual Explanation

A visual explanation is a way to show how a machine learning model makes its decisions using images. It highlights the specific parts of an image that influenced the model's prediction. For example, if a model identifies a dog in a picture, a visual explanation might highlight the dog’s face or body. This helps people understand what features the model considers important, increasing transparency and trust. It’s a valuable tool for verifying that the model is focusing on relevant details and not misleading cues, making AI decisions more understandable and trustworthy.