New York Fashion Shows: 10,500 High-Resolution Identity & Street Style

An expansive, technically superior dataset of 9,475 original RAW images captured during a high-traffic fashion trade show in Las Vegas. Shot with a professional Nikon/Profoto photobooth setup, this archive features industry professionals "dressed to impress," offering an authentic cross-section of global fashion trends, personal aesthetics, and human diversity from a pivotal era in editorial style.

Technical Specifications:

Hardware: Nikon D-Series (RAW capture)

Lighting: Professional Profoto Studio-Lit setup

Volume: 10,500 High-Resolution Records

Metadata: Validated CSV including Outfit Style, Key Garment, Accessories, Subject Count, and Pose/Mood.

Business Case for AI Training:

Authentic Street Style: Unlike curated studio sets, these are real attendees in diverse, non-scripted fashion, ideal for training "In-the-Wild" apparel recognition.

Identity & Pose Consistency: The photobooth format provides consistent framing with high subject variety, perfect for facial recognition and human pose estimation (HPE) research.

Multi-Subject Training: Includes entries for single subjects, pairs, and groups, aiding in training occlusion and multi-person detection algorithms.

Legacy Fashion Data: Provides a critical temporal baseline for historical trend analysis and generative AI style-transfer.

Licensing & Provenance:

Creator-Owned: 100% owned and distributed by Brett Williams Studios LLC.

Releases: Signed releases on file for event attendees.

Terms: Non-exclusive perpetual license for commercial R&D and model training.