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Datasets:
BWS-Data-Solutions
/
BWS-Privacy-Blurred-POC

Tasks:
Image Classification
Image Segmentation
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
< 1K
Tags:
depth-estimation
bokeh
segmentation
background-removal
clear-act-2026
privacy-safe
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
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BWS-Privacy-Blurred-POC / README.md
brett williams
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metadata 
language: en
license: other
license_name: bws-rights-managed
license_link: >-
  https://huggingface.co/datasets/BWS-Data-Solutions/BWS-Privacy-Blurred-POC/blob/main/LICENSE.md
pretty_name: Privacy-Native Blurred Environments (POC)
task_categories:
  - image-classification
  - image-segmentation
tags:
  - depth-estimation
  - bokeh
  - segmentation
  - background-removal
  - clear-act-2026
  - privacy-safe
  - vlm-training
  - enterprise-data
  - multimodal
size_categories:
  - 10K<n<100K

🌫️ Privacy-Native Blurred Environments: Compliance-Native Multimodal Tokens (POC)

🛡️ Engineering Evaluation Sandbox (Active 7-Day Access)

This repository serves as the engineering evaluation sandbox for Brett Williams Studios LLC. It contains highly specialized, rights-managed visual training tokens optimized specifically for depth estimation networks, bokeh simulation architectures, and spatial segmentation models.

Defusing the Historical Contract Bottleneck: Captured prior to 2022—before modern AI foundation models existed—this archive utilizes an advanced Total Face Neutralization process. This provides your engineering and legal teams with an airtight hedge—completely removing biometric landmark arrays, Right of Publicity exposure, and CCPA/GDPR personal data liabilities, while fully preserving high-fidelity background composition values and uncompressed lighting vectors.

📐 The Core S3 Bucket Architecture

We utilize a concrete three-tier cloud storage architecture for immediate pipeline integration:

  • 1. Preview Node (s3://createphotos): Staged with 120-image evaluation zip packages containing dedicated spatial-level metadata manifests.
  • 2. Secured Engine (s3://bws-delivery-payloads-2026): Staged with production-grade bokeh/blurred RAW assets, block-buffered forensic track files, and master parquet manifests.
  • 3. Delivery Pipeline (s3://master-sales): Folders 01–18 designed for custom enterprise drops via time-limited 7-day presigned whitelist links.

⚖️ Legal Architecture & Risk De-Risking

  • Federal Regulatory Alignment: Fully optimized to satisfy the 2026 US CLEAR Act reporting mandates and state-level disclosure rules (AB 2013). Delivered with automated, block-buffered SHA-256 forensic tracking logs.
  • Absolute Chain of Title: 100% proprietary, creator-owned source captures. Absolute copyright authority is held under 17 U.S.C. § 106 (US Copyright Reg: VA 2-196-154). Zero scraped or gray-market data.

💎 Commercial Pricing & Procurement

We operate on transparent, high-velocity enterprise pricing to accelerate your model training cycles. To request a formal Statement of Work (SOW), trigger a validation invoice, or whitelist your engineering team's AWS Account ID for secure cross-account bucket access, contact our procurement node:

info@brettwilliams.org
(Please include your organization name, intended depth-estimation/VLM use case, and requested deployment scale).

🚀 Quick Start Evaluation 

from datasets import load_dataset

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

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