Overview
Given the non-refundable nature of AI extractions with our partners, Pure Photos and 36Pix, this guide offers professional guidance to address potential issues and ensure optimal results.
- Minimum file size: 12 megapixel
- Color space: sRGB
- Maximum file size: 30mb
- File type: JPG or JPEG
2.1 Importance of Even, Consistent Lighting: Achieving even and consistent lighting is crucial for high-quality AI image extractions. Proper lighting ensures that the subject is well-illuminated, with minimal shadows and highlights, allowing the AI to accurately distinguish the subject from the background. Inconsistent lighting can create harsh shadows or blown-out highlights, which complicate the extraction process and reduce the quality of the cutout.
2.2 Avoiding Harsh Shadows and Blown-Out Highlights:
- Highlight Control: Use reflectors and diffusers to control and soften highlights, preventing areas of the image from becoming overly bright and losing detail. When using backlighting or edge lighting, especially on white or very light backgrounds, be sure to leave some separation in tone between the background and foreground
- Shadow Control: Use fill light to fill in dark areas of your subject. Especially in dark settings like gyms, ensuring sufficient tonal value in your shadows is crucial for separating the subject from the background.
2.3 Ideal Lighting Setups for Portraits and Group Photos:
- Individual Lighting: The key light is the primary source of illumination, the fill light reduces shadows, and the backlight separates the subject from the background.
- Group Lighting: For group photos, use broad, even lighting to ensure all subjects are well-lit.
- Background Lighting: Consider lighting the background separately to create a clear distinction between the subject and the background.
3.1 Using Plain, Uncluttered Backgrounds: The choice of background is critical for achieving clean AI image extractions. Solid-colored backgrounds with minimal texture are ideal. AI extractions tools are designed specifically to isolate and remove people from backgrounds, and it doesn’t differentiate between elements the user may want to keep, like chairs, complex props, or random objects. Its primary function is to remove everything except the person or people, which can lead to inconsistent results if other elements are present in the photo. For images with complex scenes or probs where you may want to retain certain elements (such as baseball bats, lacrosse sticks, tennis rackets, sheer dance costume fabrics, hockey sticks and skate blades and netting of any kind), we recommend our 36Pix extraction service that includes a human QC element.
3.2 Best Colors and Materials for Backgrounds:
- Solid Colors: Use neutral colors like white or gray to minimize distractions and enhance clarity.
- Materials: Smooth and non-reflective materials like fabric backdrops or matte vinyl work best.
- Foot Placement Mats: Use mats matching your background color to avoid introducing unwanted elements.
3.3 Avoiding Patterned or Busy Backgrounds: Intricate designs or textures create visual noise and confuse AI algorithms.
4.1 Choosing the Right Aperture: Use f/8 or higher for sufficient depth of field.
4.2 Using a Fast Shutter Speed: Use a minimum shutter speed of 1/125 second to avoid motion blur.
4.3 Setting the Correct ISO: Use ISO 100-400 in well-lit environments, or higher ISO values (800-1600) with care in low light.
5.1 Basic Adjustments in Exposure, Contrast, and White Balance:
- Exposure: Ensure balanced exposure with no areas too dark or too bright.
- Contrast: Slightly increase contrast to enhance the separation between subject and background.
- White Balance: Correct white balance to ensure colors are true to life.
5.2 Avoiding Over-Editing that Can Complicate AI Extractions:
- Natural Look: Maintain a natural appearance; avoid excessive sharpening or heavy filters.
- Edge Clarity: Avoid effects that blur or soften edges, as clear, sharp edges are crucial for accurate extractions.
5.3 Ensuring Image Clarity and Sharpness in Post-Processing:
- Sharpening: Apply sharpening selectively to enhance details without introducing noise.
- Noise Reduction: Reduce graininess to improve clarity and allow AI to focus on the subject.
- Clarity Adjustments: Adjust mid-tone contrast cautiously to avoid creating halos around the subject.
Summary: Common Mistakes to Avoid
- Poor Lighting
- Uneven Lighting: Avoid harsh shadows or overly bright areas.
- Insufficient Lighting: Ensure the subject is adequately lit.
- Using Busy or Patterned Backgrounds
- Complex Backgrounds: Avoid backgrounds that confuse AI algorithms: Complex props, elements involving nets, or other items intended to remain in the photo alongside the subject.
- Cluttered Scenes: Stick to simple backgrounds for clear distinction.
- Inconsistent Subject Positioning
- Close Proximity to Background: Prevent blending by maintaining space.
- Ignoring Camera Settings
- Improper Focus: Ensure sharp focus for quality extractions.
- Wrong Aperture: Use correct aperture to avoid haloing.
- Neglecting Image Quality in Post-Processing
- Over-Editing: Avoid excessive adjustments or artifacts.
- Ignoring Noise: Reduce graininess for better AI differentiation.
- Failing to Maintain Contrast: Ensure sufficient contrast for clarity.
The Takeaway
By following these guidelines and incorporating individual experimentation, you can achieve optimal results that balance technical precision with artistic vision. We encourage you to share your experiences and challenges to help our partners refine their technology and continue delivering innovative AI extraction solutions tailored to photographers' evolving needs.