Data collection: metadata is prepared for each participant and additional images are collected from internal resources or crowdsourcing.
Foreground color correction: adjustment modifies the color and tone of the extracted object to provide a more natural appearance when superimposed on a different background.
Pixel transparency assessment: creating an alpha mask to determine the degree of transparency of an object
Quality selection: for high quality, use detailed pixel-by-pixel annotation in Photoshop. For medium quality, use broken lines (polygon vertices).