How to Remove Image Backgrounds with AI Quiz

Answers and explanations appear as you take the quiz.

1. What does an alpha channel store in a cutout image?
   • The image's color profile
   • The file's compression level
   • How transparent each pixel is
   • The camera settings
2. Why should you not save a transparent cutout as a JPEG?
   • JPEG cannot store transparency
   • JPEG files are always too large
   • JPEG removes the subject
   • JPEG only supports black and white
3. A cutout of a person shows a faint green fringe on a white background. What is the likely cause?
   • The model deleted the whole subject
   • The image resolution is too high
   • The PNG was corrupted
   • Color from the original background bled into the edge pixels
4. Which subjects are hardest for AI background removal?
   • A mug on a plain contrasting backdrop
   • Flyaway hair, fur and glass
   • A sharply focused shoe
   • A solid-colored book
5. What is the difference between segmentation and matting?
   • Segmentation changes colors; matting crops the image
   • They are two names for the same thing
   • Segmentation decides which pixels are subject; matting estimates partial transparency at edges
   • Matting only works on video
6. What helps a product cutout look realistic when placed on a new background?
   • Adding a soft contact shadow and matching the lighting
   • Increasing the file size
   • Adding a thick outline
   • Removing all shadows and highlights from the product
7. What is a quick way to process hundreds of product photos at once?
   • Open each photo and trace it by hand
   • Use a batch tool such as the rembg command line or a Photoshop action
   • Take new photos without backgrounds
   • Convert each photo to JPEG first
8. Why view a finished mask against black, white and a bright color?
   • To reduce file size
   • To make the cutout look sharper
   • To change the subject's colors
   • To reveal halos, holes and rough edges that one background hides