On the beach clip, backlit sun glare was not cleanly separated and remained as a rainbow-tinted haze over the head and shoulder instead of a clean silhouette.

⚠ Struggledinput + output shownTest date not recordedPicsart
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

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
Output 1
Output 1
Output 2
Output 2
Output 3
Output 3
Provenance
Observation
dbf1cbf5-9d0a-4d0b-ac53-e4f593d3e0b9
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: "picsart",
  scenario: "remove-or-replace-video-backgrounds-using-ai"
})
MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 9 other tools
measured on Edge quality
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com