A requested sunset look was rendered as a warmer color grade on the same midday sun position; the sun disc stayed the same size, brightness, and height in frame instead of moving to a low-horizon lighting setup.
What was measured
Lighting adaptation
Does the replaced background look naturally lit relative to the subject, or obviously composited?
decisive for this rankingtransformation
If the replaced background does not match the subject’s lighting, the composite looks fake, so this is central to replacement quality. (3 of 3 judges)
What was given, what came back
Test input: Oregon Coast Walking · video · group: remove-or-replace-video-backgrounds-using-ai
Input — what we sent
Oregon Coast Walking
A daylight outdoor video of a single person walking along an Oregon coast beach, with the camera following the subject and ocean waves, sand, and sky visible in the background. It was used to test background removal and replacement on a moving subject in a natural outdoor setting.
Why this input is hard
- · Outdoor background removal
- · Subject segmentation during movement
- · Hair and edge preservation
- · AI background replacement quality
Output — unretouched


Also checked on this input — same tool, 3 other criteria
Background options◐ MixedThe generated replacement background can include small texture glitches: one desert output showed a dark smeared patch and a stray green dot on the dune ridgeline.Edge quality✓ WorkedIt kept the moving subject’s silhouette clean, with no visible green-screen fringing or halo around the edge.Output resolution✓ WorkedIt held the export at 2160×3838, matching the source’s roughly 4K vertical resolution instead of downscaling it.
Provenance
- Observation
- 3a6106c1-f519-470f-ad9d-7d5125b936f6
- Evidence run
- 10155228-7ce8-438a-a210-547331ef080b
- Study
- Remove or Replace Video Backgrounds Using AI
- Research task
- 86ba42c2d
- Tested at
- not recorded
- Source
- first-party
- Evidence state
- observed
- Proof shown
- input + output shown
- Cost / latency
- not captured
- Repeat run
- not captured
- Tester
- not captured
The last three rows are honest blanks, not placeholders — our capture has no field for them yet.
Query this
get_evidence({
tool: "invideo-ai",
scenario: "remove-or-replace-video-backgrounds-using-ai"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 1 other tool
measured on Lighting adaptation
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com