---
license: apache-2.0
language:
  - en

pretty_name: Origin Data Lab Face Anonymization Public Evaluation V58

tags:
  - computer-vision
  - video
  - privacy
  - anonymization
  - face-detection
  - face-anonymization
  - privacy-processing
  - data-services
  - human-qa
  - human-in-the-loop
  - video-processing
  - urban-traffic
  - low-light
  - evaluation

size_categories:
  - n<1K
---

# Origin Data Lab — Face Anonymization Public Evaluation V58

**Privacy processing for real-world video datasets**

Automated face anonymization combined with targeted Human QA for autonomous driving, robotics, computer vision, urban mobility, and AI data teams.

This repository presents a public engineering evaluation of Origin Data Lab's face anonymization pipeline in dense, low-light urban traffic conditions.

## Evaluate Your Own Video

Need privacy processing for traffic, street, CCTV, ego-centric, or other real-world video?

[**Request a Private Pilot**](mailto:contact@origindatalab.io?subject=Private%20Pilot%20Request%20-%20Face%20Anonymization) · [**Visit Origin Data Lab**](https://origindatalab.io)

---

# Representative Before / After Result

The following example provides an immediate visual comparison of the V58 anonymization output.

![Representative Before and After Result](before_after.jpg)

---

# Processing Summary

| Metric | Value |
|---|---:|
| Resolution | 1280 × 720 |
| Processed Frames | 2,661 |
| Source FPS | 30.000 |
| Processing FPS | 11.305 |
| Total Processing Time | 235.393 sec |
| Detected Face Regions | 10,634 |
| Rendered Blur Regions | 10,634 |
| Rejected Candidate Regions | 0 |
| Mean Detection Confidence | 0.6373 |

> **Metric interpretation:**  
> `Detected Face Regions` and `Rendered Blur Regions` describe pipeline processing activity. They do not represent independently verified ground-truth recall or a claim that every visible face in the source video was detected.

---

# Before / After Gallery

These additional samples show representative results at different points in the evaluation video.

<table>
  <tr>
    <td align="center" width="50%">
      <strong>Sample 1 — 00:03</strong><br><br>
      <img src="before_after_003s.jpg" width="100%" alt="Face anonymization before and after sample at 3 seconds">
    </td>
    <td align="center" width="50%">
      <strong>Sample 2 — 00:08</strong><br><br>
      <img src="before_after_008s.jpg" width="100%" alt="Face anonymization before and after sample at 8 seconds">
    </td>
  </tr>
  <tr>
    <td align="center" width="50%">
      <strong>Sample 3 — 00:30</strong><br><br>
      <img src="before_after_030s.jpg" width="100%" alt="Face anonymization before and after sample at 30 seconds">
    </td>
    <td align="center" width="50%">
      <strong>Sample 4 — 01:01</strong><br><br>
      <img src="before_after_061s.jpg" width="100%" alt="Face anonymization before and after sample at 61 seconds">
    </td>
  </tr>
</table>

---

# Public Demo Video

## Face Anonymization Before / After

**Public Evaluation Release V58**

The demonstration video includes:

- Original footage
- Anonymized output
- Before / After comparison
- Dense low-light urban traffic scenes
- Origin Data Lab branding

<p align="center">
  <a href="https://huggingface.co/datasets/origindatalab/face-anonymization-public-evaluation-v58/resolve/main/Origin%20Data%20Lab%20Face%20Anonymization%20Demo%20%28V58%29.mp4">
    <img
      src="https://huggingface.co/datasets/origindatalab/face-anonymization-public-evaluation-v58/resolve/main/Origin%20Data%20Lab%20Face%20Anonymization%20Demo%20%28V58%29.jpg"
      width="90%"
      alt="Watch the Origin Data Lab Face Anonymization Before and After Demo"
    >
  </a>
</p>

<p align="center">
  <strong>▶ Click the preview image to watch the full V58 demo video</strong>
</p>

---

# What Origin Data Lab Delivers

Origin Data Lab provides privacy processing and AI dataset preparation services for real-world video data.

Our delivery workflow can include:

- Automated Face Anonymization
- Targeted Human Quality Assurance
- Human Ground Truth
- Privacy Validation
- Metadata Generation
- Dataset Preparation
- Dataset Verification
- Custom AI Dataset Production
- Production-ready Dataset Delivery

Our objective is not simply to blur detected regions.

We deliver privacy-safe, reviewable, and structured datasets suitable for AI development and downstream engineering workflows.

---

# Why Customers Choose Origin Data Lab

Many privacy processing vendors focus primarily on automated AI processing.

Origin Data Lab combines AI automation with targeted Human QA to deliver production-ready results while maintaining close collaboration with every customer.

## Our Approach

- AI performs the majority of repetitive privacy processing.
- Experienced Human QA specialists review difficult, ambiguous, and high-risk cases before delivery.
- Every project is tailored to the customer's technical requirements rather than following a fixed workflow.
- Customers communicate directly with the project team throughout the project.
- Processing rules and QA priorities can be adjusted quickly based on customer feedback.
- Small pilot projects are welcome and can scale into larger production workflows.
- Flexible delivery formats are available to match each customer's pipeline.

## A Different Customer Experience

Many organizations become frustrated when working with large outsourcing providers because of:

- Slow communication
- Rigid workflows
- Limited flexibility
- Long turnaround times
- Multiple layers of project management

Origin Data Lab is designed to be different.

We believe customers should be able to work directly with the engineering team, receive rapid feedback, and build a workflow that matches their project instead of adapting to a one-size-fits-all service.

## Hybrid Production Workflow

Every project is different.

Depending on video quality and customer requirements, AI performs the majority of repetitive processing while experienced Human QA specialists review the remaining difficult cases before final delivery.

This hybrid workflow reduces manual effort while maintaining production-quality privacy protection.

Whether your project contains a few minutes of video or a large production dataset, our goal is the same:

**Deliver privacy-safe, customer-ready datasets with responsive communication and flexible engineering support.**

---

# Public Evaluation Configuration

| Item | Value |
|---|---|
| Public Release | **V58** |
| Engine Configuration | **V55-P0-FACE-ONLY** |
| Pipeline Mode | Face-only Anonymization |
| Evaluation Location | Dhaka, Bangladesh |
| Scene Type | Dense Urban Traffic |
| Lighting Condition | Low-light |

---

# Processing Performance

## Processing Speed

![Processing Speed](charts/fps_chart.png)

## Detection Activity

![Detection Activity](charts/detection_chart.png)

## Confidence Distribution

![Confidence Distribution](charts/confidence_chart.png)

---

# Production Delivery Model

Origin Data Lab recommends a hybrid privacy-processing workflow for production projects.

```text
Automated AI Processing
          ↓
Targeted Human QA
          ↓
Final Privacy Validation
          ↓
Production Dataset Delivery

---

# Production Delivery Model

Origin Data Lab recommends a hybrid privacy-processing workflow for production projects.

```text
Automated AI Processing
          ↓
Targeted Human QA
          ↓
Final Privacy Validation
          ↓
Production Dataset Delivery
```

Automation significantly reduces repetitive manual work while maintaining scalability.

Targeted Human QA focuses on reviewing difficult, ambiguous, low-confidence, or high-risk cases before final delivery, ensuring consistent privacy protection for production datasets.

---

# Known Limitations

Like all computer vision systems, automated face anonymization has practical limitations under challenging real-world conditions.

Performance may decrease in situations such as:

- Extremely small or distant faces
- Severe occlusion
- Fast motion and motion blur
- Heavy compression artifacts
- Extremely dark environments
- Partial facial visibility
- Faces below practical detector resolution
- Unusual viewing angles

These situations are **not claimed to be automatically solved in every frame**.

For production projects, Origin Data Lab addresses these cases through targeted Human QA and final privacy validation before delivery.

---

# Intended Use

This public evaluation is intended for:

- Engineering evaluation
- Vendor capability assessment
- Privacy-processing demonstration
- Customer pilot evaluation
- AI dataset preparation review
- Technical due diligence

This repository is **not intended** to serve as:

- An independent benchmark leaderboard
- A certification dataset
- A claim of perfect face detection recall
- A complete release of Origin Data Lab's proprietary production technology

---

# About This Public Release

This repository demonstrates the current engineering state of Origin Data Lab's privacy-processing technology.

Its purpose is to transparently present processing quality while protecting proprietary production systems and internal know-how.

The following are **not included** in this public release:

- Internal production pipeline
- Proprietary optimization techniques
- Human QA operating procedures
- Customer-specific workflows
- Internal engineering tools

Future public releases may evaluate newer engine versions while maintaining independent public evaluation numbering.

---

# Reports & Evaluation Assets

This repository includes representative engineering materials for technical review, including:

- Public processing summary
- Performance charts
- Technical evaluation report
- Public demonstration video
- Before / After comparison samples

These assets are provided to help customers evaluate processing quality before initiating a pilot project.

---

# Request a Private Pilot

If your organization needs privacy processing for real-world video datasets, Origin Data Lab can perform a scoped pilot evaluation using your own data.

Typical evaluation factors include:

- Video duration and data volume
- Resolution and frame rate
- Scene complexity
- Lighting conditions
- Privacy requirements
- Required Human QA level
- Delivery format
- Project schedule

To discuss a pilot project, please contact us:

**Email:** contact@origindatalab.io

**Website:** https://origindatalab.io

---

## Why Work With Origin Data Lab?

We combine automated AI processing with targeted Human QA to deliver privacy-safe datasets suitable for real-world AI development.

Whether you need face anonymization, privacy processing, Human Ground Truth, or complete dataset preparation, we can design a workflow that fits your project requirements.

We welcome pilot evaluations for autonomous driving, robotics, computer vision, smart city, and AI research projects.


# Contact

## Website

https://origindatalab.io

## Business Inquiries

contact@origindatalab.io

---

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