Photo Editor for Insurance-Styled Images + $50 BONUS

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Looking for someone to create realistic falsified damage on original images for a machine-learning dataset - i.e. you photograph an everyday object, then edit in damage such as a dent or burn marks. These edits should be made realistically. These are synthetic samples for AI model training, not real insurance claims.

You will be taking 15 original photos as well as creating 2 edited variants of each for a total of 30 edited photos, and 45 total images submitted (15 original + 30 edited).

Examples:

Original: Car → Edit variant: Car bumper with collision damage, broken mirror

Original: House → Edit variant: Broken window, fire/water damage

Original: Roof → Edit variant: Roof damaged by hail, fallen tree

Original: Utilities → Edit variant: Broken air conditioner, exploded water heater

Original: Yard → Edit variant: Overgrown trees, fire/burn damage

Original: Furniture → Edit variant: Sofa damaged by flooding, collapsed bed-frame

Original: Items → Edit variant: Broken vase, ripped clothing

Edits should be made to look realistic.

A $50 bonus will be given if edits meet expectations.

The original images do not need to be professional grade photos, your phone camera is enough.

You should feel comfortable with a variety of photo editing tools. AI usage is only permitted inside editing softwares. At least half of your edited images should not be manipulated by AI whatsoever.

If you can make fake damage look believable, you're a fit.

Full details will follow.

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