Image Quality Specifications

Image Properties

Image Property

Recommended Specification


File Type


Pictofit Studio only recognizes these file types for 2D Garment Fitting

File Size

Ideal size is 500 KB or less
(limit is 20 MB)

Images with large file size tend to affect site performance

Image Width

1500 to 2500 pixels wide
(1000 pixels minimum)

Images smaller than the recommended baseline will appear blurry or pixelated


Up to 60 MP (megapixel)

Image resolution can be calculated by multiplying the dimensions of the image and dividing the product by 1 million

Color Mode


CMYK color mode is used only for print

Color Profile


The images will not look good on devices if the color profile is not sRGB

Input Image Requirements

  • FRONTAL: A frontal ghost mannequin image of the garment is what we will use for the 2D Garment fitting

  • REFERENCE_ADDITIONAL: A reference image showing a model wearing the garment helps us ensure the accuracy of the fitted garment.

What is a ghost mannequin image?

The ghost mannequin is also known as invisible mannequin, 3D mannequin or hollow man.
It is a post-production technique for apparel product photography. 

A brief guide of the ghost mannequin technique:
  1. Take a photograph of a garment on a mannequin.

  2. (optional: only if parts are hidden)
    Take one ore multiple photos of the parts of the garment that are hidden by the mannequin (e.g. collar backside).

  3. Remove the mannequin of the first image and reconstruct the hidden parts with data of the detail images from the second step with an image editing tool in post-processing.



Garment Quality Specifications

Category A | Ideal Product Image + Reference Image

  • Product images classified as Category A are processed with minimal correction and alteration and guarantee an optimal result.

  • Garments in Category A have frontal and REFERENCE_ADDITIONAL images.

  • Moreover, a product image belongs to this category if the following specifications are fulfilled:


Input Sample

Output Sample

The garment is completely worn by a ghost mannequin representing an actual human body. No part of the garment is captured flat or deflated.

The pose of the ghost mannequin is straight (A pose) and symmetrical from left to right.

All parts of the garment are visible. Parts may touch but they should not overlap.

The garment has a high contrast to the background and is captured in optimal lighting, showing a sharp and distinct outline/edge.

All backsides are visible (e.g. collar).

Accessories are not fitted to the avatar but are still processed (background removal) as part of the whole outfit.

Category B | Extra effort but guaranteed ideal result

  • Product images classified as Category B do not fulfill the specifications listed in Category A.

  • Garments considered as Category B have a FRONTAL image and a REFERENCE_ADDITIONAL images.

  • Garments under this category need retouching to correct issues of the garments as specified below:


Input Sample

Output Sample

Partial Overlapping Parts
Parts of the garment are covered in the product image

Reasons for this can be:

  • The mannequin arms are too close to the torso. Especially wide sleeves/or wide shapes e.g. bell shape may result in overlaps. (example 1

  • Bows, belts, or other decorative elements that stick out and as a result cover another part of the garment (see pink dress as example)

  • The mannequin arms are not attached so that the sleeves are hanging down in the back/front.

Thin Sleeves
The sleeves of the garment are too thin.

Reasons for this can be:

  • The absence of arms which should be attached to the ghost mannequin, making the sleeves deflated

  • The way the garment is captured, the torso is more prominent, hiding the parts of the upper arm.

Low Contrast
The garment has low contrast to the background, especially for garments with intricate details such as fur, fringes, lace, etc.

Category C | Extra effort and/or un-guaranteed ideal result

  • Product images classified as Category C do not fulfill the specifications mentioned in Categories A and B. Furthermore, they may have the following limitations:

    • The garments need correction but still does not guarantee an optimal result.

    • No REFERENCE_IMAGE image is provided and the accuracy of the fit cannot be guaranteed.

  • Issues in this category include the following:


Input Sample

Output Sample

Frontal Model
The garment is worn by a model. Parts of the garment are covered and/or the silhouette of the garment does not match the pose of the avatar used.

Hanger Shot
The garment is captured on a hanger.

The garment is captured without a ghost mannequin.

Deflated Sleeves
Parts of the garment are deflated. (e.g. using a ghost mannequin without arms)

Poor Lighting
Garments captured in poor lighting conditions.

Transparent Overlaps
Transparent garments that are captured without a ghost mannequin where front and back parts overlap.

Not Processable

  • The following product images cannot be processed:

Fully Covered

  • Large parts of the garments are covered. Missing information is impossible to replicate.

Model Pose

The models in the image depict the following:

  • The model is posing in a way that make the garment not fully visible.

  • The model is posing in such a way that the garment is distorted (hands on pocket, hands holding accessories, hair covering the garment).

  • The model is wearing an upper garment that is tucked in.


The garment is not frontal in the image


  • Especially for garments with no reference pictures (model wearing the actual garment)

  • The fit is too complicated to guess

Multiple Garments

  • Multiple garments that overlap (example 1) as well as garments that are separated but disproportional and not positioned properly (example 2)

Example 1 (Overlapping)

Example 2 (Disproportional)


  • Product images with garments that are bent and/or folded