The Nike Visual Archive: Premium Tagged Asset Collection
A structured, multi-tag database of Nike product imagery designed for rapid discovery, design reference, and professional integration.
16,922
Unique Products
Individual SKUs Available
36,966
Total Visual Assets
High-Quality Product Images
7,453
Primary Hero Shots
Main Marketing Images
29,513
Technical Detail Views
Labels, Ingredients & Textures
This collection contains curated images of Nike products sourced from publicly available retail and catalog pages. The dataset includes high-quality product images across footwear, apparel, and accessories, captured in multiple visual formats such as hero shots, alternate angles, detail views, and lifestyle imagery.
Images are organized with structured metadata including product type, category, and source context, making the collection easy to browse, filter, and analyze. The Nike image collection is useful for visual research, catalog analysis, design reference, and machine learning workflows such as image classification and similarity search.
What This Collection Includes
What This Collection Includes
- Footwear images (running, training, lifestyle)
- Apparel images (tops, bottoms, outerwear)
- Accessories (bags, caps, socks)
- Multiple angles and zoomed-in detail shots
- Studio and lifestyle images
Advanced Tag-Based Discovery
Our database uses a multi-layered tagging system, allowing you to filter by more than just category. Every asset is indexed with:
- Broad Identifiers: Tags like shoes, sneakers, and sport shoes for general browsing.
- Activity Context: Sport-specific tags including running, soccer, cleats, and football.
- Technical Perspectives: Filter by primary hero shots or detail views of outsoles and interior tags.
Standardized Asset Quality
- High-Resolution Documentation: Preserved from original catalog sources to ensure maximum detail for design and ML workflows.
- 360-Degree Views: Includes lateral, medial, and specialized close-up angles for comprehensive product analysis.
- Clean Metadata: All images are pre-mapped to their official product category and source context.
Popular Categories
Browse images by category