The same blue-teal halo is present at multiple sampled timestamps, so the edge defect persists across the clip rather than appearing as a one-frame glitch.
What was measured
Temporal consistency
Does the mask flicker or shift between frames, or stay stable across the clip?
decisive for this rankingtransformation
Stable masks across frames are essential in video; flicker or shifting means the background removal is visibly broken. (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
Edge quality⚠ StruggledUnder harsh backlighting, the beach subject’s torso can read semi-transparent instead of fully opaque, so the matte is visibly incomplete beyond the recurring halo artifact.Edge quality⚠ StruggledBacklit cutouts pick up a recurring blue-teal halo around the head and shoulders instead of a clean silhouette edge.Motion handling⚠ StruggledA moving leg becomes noticeably softer and blurrier mid-stride, so motion blur adds extra edge softness to the cutout.
Provenance
- Observation
- 365c8a87-d849-47f7-aa89-ce99901c4058
- 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
- verified
- 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: "flexclip",
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 Temporal consistency
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com