ORIGIN DATA LAB

Dhaka 1 Face Anonymization Test - V58

Automated privacy processing with targeted Human QA for real-world video data.

Processed frames2,661
Processing FPS11.169
Detected faces10,634
Blurred faces10,634
Mean confidence0.6373
EngineV55-P0-FACE-ONLY

Representative Before / After Examples

Representative frames were selected from different points in the video to demonstrate face anonymization under low-light, dense urban traffic, occlusion, motion blur, and mixed viewing distances.

Primary demonstration — 00:08

Close-range riders and visible faces under low-light traffic conditions. This frame provides the clearest visual comparison of the face-only anonymization result.

BEFORE
AFTER — FACE ANONYMIZATION
Before and after face anonymization at 8 seconds

Additional representative frames

00:03

Early dense-traffic scene with multiple visible road users.

BEFORE
AFTER
Before and after face anonymization at 3 seconds

00:08

Close-range faces demonstrating clear anonymization coverage.

BEFORE
AFTER
Before and after face anonymization at 8 seconds

00:30

Mid-video urban scene with mixed-distance faces and moving traffic.

BEFORE
AFTER
Before and after face anonymization at 30 seconds

01:01

Later low-light scene containing partial occlusion and complex traffic.

BEFORE
AFTER
Before and after face anonymization at 61 seconds

Processing speed

Processing speed

Detection activity

Detection activity

Confidence distribution

Confidence distribution

Evaluation context

Pipelinev55-p0-face-only
LocationDhaka, Bangladesh
EnvironmentLow-light dense urban traffic
Reviewer noteHuman QA is recommended for very small, occluded, low-light, or motion-blurred faces.

Responsible reporting

This is an internal engineering evaluation, not an independently audited accuracy benchmark. Final production delivery should include Human QA for difficult scenes.