INDUSTRY FIELD GUIDE
Carpet and upholstery cleaning before-and-after data for AI
Before-and-after photos can suggest a change caused by cleaning when the lighting, crop or sample has changed.
NAICS 561740 · Carpet and Upholstery Cleaning Services
Before-and-after photos can suggest a change caused by cleaning when the lighting, crop or sample has changed. The Carpet and Rug Institute publishes testing program criteria. A cleaning operator can build a controlled sample for assessing photo comparison and evidence quality. Carpet and Rug Institute Seal of Approval program
Use business-owned swatches with distinct dummy identifiers. Photograph each at the same angle and lighting before and after a staged cleaning. Include one existing mark and one intentional example with a different exposure. Give reviewers a swatch map and ask which comparisons support an appearance change and which need another photo. Report the image comparison separately from any statement about cleaning effectiveness.
Keep customer furniture, home interiors and trademarks outside the frame. Use equipment and textiles your business can authorize and document who captured each photo.
Describe a controlled cleaning image sample
Original Fiund exercise
A changed exposure can imitate an appearance improvement in a cleaning comparison
Two owned textile swatches use original image-review annotations. This text fixture contains no actual photos, customer furnishings, cleaning instructions or performance certification.
| Record | Source | What it records |
|---|---|---|
| CW1 | Swatch A pair | Same swatch ID, angle, crop, light and exposure before/after. Reviewer observes a smaller visible dark region after the staged task. |
| CW2 | Swatch B pair | Same swatch ID but after-view exposure increased. Dark region appears lighter; no exposure-matched recapture supplied. |
| CW3 | Reference map | A has a preexisting small dot outside the task region. Map identifies that dot in both views; it is not a new mark. |
Question for the model
Which pair supports a controlled appearance comparison, and what claims remain unsupported for B or cleaning effectiveness?
Show the reference answer and checks
CW1 supplies a matched A comparison with a reviewer-observed reduction in visible dark area under the stated capture controls. CW2 changes exposure, so its lighter appearance cannot be separated from the imaging change without recapture or another justified control. CW3 identifies A's dot as preexisting, not new damage. These observations evaluate image evidence and do not by themselves establish cleaning effectiveness, a cause or a certification outcome.
- Attributing brightness changes to cleaning when exposure differs.
- Calling a preexisting reference mark new or treating appearance evidence as certified performance.
Fields to preserve
- Swatch and task-region identity
- Defines the comparison target.
- Angle, crop, lighting and exposure
- Records capture controls.
- Reviewer change and preexisting marks
- Separates observations from causal claims.
Test another case
Provide B's exposure-matched recapture from a different angle. Require the remaining geometry difference to be considered before a controlled comparison is claimed.
Use business-owned swatches and authorized equipment. Exclude customer property, interiors and trademarks; retain photo authorship and reuse rights.
Discuss a contribution
Describe the sources you control, the task they could support and what has already been checked. Use the existing-data assessment for an archive or the collection brief for a new recording project. The contributor agreement defines Fiund’s licensing authority and compensation. A guide or fictional exercise does not establish an accepted collection or a sale.