Explore how to leverage Firefly Creative Production’s background removal feature for optimal results.
To achieve the best results with the Remove background feature, images that clearly highlight the intended subject yield the most accurate background removal and replacement. In some cases where the subject is less distinct, results may vary in precision. Understanding these differences empowers you to select the most suitable images, helping you maximize the effectiveness of automated background removal and achieve the best outcomes.
Background
Uniform backgrounds
For the best results, use images taken in a studio setting with even lighting and a solid or uniform background. Clean, neutral backgrounds help avoid color interference and make it easier to accurately remove or replace the background, ensuring you get the desired outcome.
Complex backgrounds
Images taken in busy outdoor or crowded indoor settings, or those with backgrounds that closely match the subject’s texture or pattern, may be more challenging and can lead to less precise results.
Contrast
High-contrast images
For optimal background removal, use images where the subject contrasts clearly with the background in color or tone. Well-lit images with sharp, well-defined edges further enhance accuracy and improve the efficiency of the background removal process.
Low-contrast images
Images where the subjects closely match the background in color or tone, are dimly lit, overly bright, or have soft edges can interfere with accurately detecting and removing the background.
Subjects
Well-defined subjects
For effective background removal, focus on products or models that have clear edges and distinct outlines, as well as objects with simple geometric shapes or distinct textures. This combination can allow a cleaner and more precise result.
Indistinct subjects
Images containing highly reflective or transparent objects, such as glass, mirrors, chrome finishes, or transparent plastics, can cause background removal to produce unintended results due to confusion in edge detection.
Lighting
High-quality lighting
Processing images with even, diffused lighting, minimal shadows, and consistent exposure enhances precise subject detection, significantly boosting the efficiency and quality of background removal.
Poor lighting conditions
Images with highly reflective or transparent objects—such as glass, mirrors, chrome, or clear plastics—can make edge detection difficult and may result in inaccurate background removal.
Image details
Fine details
Results may differ depending on the specific characteristics of the object in the image, particularly when dealing with extremely small or intricate details.
Examples of images following the recommended best practices
Here are some examples of images grouped by category, which will yield optimized results when using the Remove background feature to delete or replace backgrounds. Each example aligns with the following ideal conditions for effective automatic background removal:
- Clean and high-contrast images
- Simple backgrounds, such as those with uniform or solid colors
- High-quality and consistent lighting
- Well-defined subjects
- Matte or semi-gloss surfaces without overly reflective highlights
Fashion
Beauty
Packaged goods
Technology
Recommended output formats
Here are some recommendations to keep in mind when using the images processed with the Remove background feature.
- Use the outputs for digital web display. This excludes Out-of-home (OOH) displays such as billboards and digital signage in public spaces.
- Consider using images with the background removed and replaced by a color similar to the original background. Similar background colors minimize the possibilities of color contamination in the processed output.
