---
language: en
license: other
pretty_name: Privacy-Native Blurred Environments (POC)
task_categories:
- image-classification
- image-segmentation
tags:
- depth-estimation
- bokeh
- segmentation
- background-removal
- clear-act-compliant
- privacy-safe
- synthetic-like
size_categories:
- 10K<n<100K
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': 01_Studio__Fashion_60_JPEGs
          '1': 02_Photo_Booth__Series_60_JPEGs
  splits:
  - name: train
    num_bytes: 37718791.6
    num_examples: 96
  - name: validation
    num_bytes: 9185666.4
    num_examples: 24
  download_size: 45508376
  dataset_size: 46904458.0
---

# Privacy-Native Blurred Environments (POC)

**High-quality, heavily blurred environmental images** designed specifically for **computer vision** and **depth estimation** training — built from the ground up to eliminate biometric, PII, and Right of Publicity risks.

This Proof of Concept dataset is **100% proprietary** (shot and owned by Brett Williams Studios). No scraped, web-crawled, or third-party data.

### Why This Dataset Exists
With the **CLEAR Act 2026** disclosure requirements now active, many teams need training data that is verifiably clean. This collection removes facial geometries, identifiable features, and personal data while preserving rich environmental context perfect for:

- Depth estimation & monocular depth models
- Bokeh simulation & portrait effects
- Background composition & segmentation
- Scene understanding
- Synthetic data augmentation

### Dataset Properties
- **Total Images (POC)**: 120 high-fidelity samples (full 25k+ production set available)
- **Style**: Multi-environment indoor/outdoor scenes with intentionally blurred human figures
- **Resolution**: High-resolution originals (downsampled versions also available)
- **Format**: JPG + metadata
- **IP Status**: Fully cleared for commercial AI training use

### Dataset Splits

| Split       | Images | Purpose                        |
|-------------|--------|--------------------------------|
| `train`     | 96     | Main training / development    |
| `validation`| 24     | Evaluation & quick preview     |

### Legal & Compliance
- Biometric/PII free by design
- Delivered with SHA-256 cryptographic manifests for audit trails
- Non-exclusive commercial licensing available
- Full production dataset available via secure AWS S3
-https://www.kaggle.com/datasets/createphotos/rivacy-native-blurred-environments-poc
### Getting Started

```python
from datasets import load_dataset

dataset = load_dataset("BWS-Data-Solutions/BWS-Privacy-Blurred-POC")

# View an example
example = dataset["train"][0]
example["image"].show()