It kept cutout edges clean across the tests, with no visible halo, fringing, or bleed around silhouettes even in hair, clothing, and low-contrast night scenes.
What was measured
Edge quality
How clean are the cutouts around hair, fingers, and clothing edges; are there visible halo, fringing, or jagged edges?
decisive for this rankingtransformation
Clean edges around hair, fingers, and clothing are a core measure of whether the background cutout works well at all. (3 of 3 judges)
What was given, what came back
Input — what we sent
No input — this is a capability finding
The observation is about the tool itself rather than one test input, so there is nothing to show on this side by design.
Output — unretouched
No output artifact
The verdict rests on the tester's written observation alone — no file was captured for this cell.
Provenance
- Observation
- 9067fa43-77a2-4986-ba98-0f16a8380697
- Evidence run
- 10155228-7ce8-438a-a210-547331ef080b
- Study
- Remove or Replace Video Backgrounds Using AI
- Research task
- 86ba42c2d
- Tested at
- not recorded
- Source
- aggregate-synthesis
- Evidence state
- observed
- Proof shown
- no artifact
- 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"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 0 other tools
measured on Edge quality
No other tool was measured on this criterion for this input.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com