Christmas dominates.
Over 50% of our archive captures the biggest retail season of the year. 12 years of continuous coverage.
Our platinum-tier retail image archive. Meticulously organised, fully validated, and structured for immediate use across 14 years, 57 events, and 132 retailers.
Over 50% of our archive captures the biggest retail season of the year. 12 years of continuous coverage.
From major holidays to niche occasions, every retail event documented.
Comprehensive coverage across UK supermarkets, discounters, and US markets.
Plus growing overseas coverage
From 2012 to 2025, continuously documenting the evolution of retail.
Proprietary organization means you'll never miss a product or placement.
High-resolution retail photography capturing every detail of seasonal merchandising.
Evaluate the archive with 100 curated sample images across events and retailers.
Request Sample Pack βThe Kanops Archive was created by Steven Dresser, a recognised UK retail influencer and industry expert who has spent over a decade capturing the evolution of seasonal retail.
Every image is captured on-location in stores across the UK and US, with consistent methodology ensuring comparable data across years and retailers.
The result is the most comprehensive visual record of retail merchandising ever assembled - purpose-built for commercial analysis, AI training, and academic research.
Everything you need for CV/AI training and commercial analysis.
| File Format | JPEG (high quality, minimal compression) |
| Resolution | 4000 x 3000px average (12MP+) |
| Colour Profile | sRGB |
| EXIF Metadata | Full capture data preserved |
| Custom Metadata | Event, Retailer, Category, Year, Month, Week |
| Folder Structure | Event β Year β Retailer β Category |
| Manifest Format | CSV with full taxonomy + SHA256 checksums |
| Update Frequency | Weekly captures, monthly manifest updates |
Every image validated through a 7-stage quality assurance pipeline built on 60+ custom tools.
Exact Matching: SHA256 hash comparison catches byte-for-byte identical files across the entire archive.
Perceptual Hashing: pHash, dHash, aHash, and wHash algorithms detect visually similar images regardless of resolution or compression differences.
Visual Pixel Comparison: SSIM structural similarity, pixel correlation, and mean absolute error analysis eliminates false positives with sub-2% error rate.
Cross-Archive Scanning: Comparative validation against master archives ensures no duplicates slip through during ingestion.
| Stage 1: Ingestion | Format validation, HEICβJPEG conversion, corruption detection |
| Stage 2: De-duplication | Triple-algorithm detection (exact + perceptual + visual) |
| Stage 3: EXIF Validation | Date verification against folder structure, rotation correction |
| Stage 4: Privacy Compliance | Person detection with HOG+SVM, GDPR-compliant blurring |
| Stage 5: Standardisation | Canonical category mapping, retailer normalisation |
| Stage 6: Audit | Catalog integrity, cross-dimensional validation, exception logging |
| Stage 7: Manifest | SHA256 checksums, atomic writes, self-verification |
Every image processed through proprietary privacy tools. Every duplicate reviewed by a human.
Automated Face Detection: Custom HOG+SVM person detection identifies individuals in retail environments, triggering automatic privacy workflows.
Intelligent Blurring: In-house blurring tools apply GDPR-compliant anonymisation to faces and identifying features while preserving product and merchandising detail.
Folder Harmonisation: Proprietary tools standardise naming conventions across 14 years of captures, ensuring consistent taxonomy and eliminating legacy inconsistencies.
Human-in-the-Loop: Every flagged duplicate is reviewed by a trained operator before deletion. No automated purging. Zero data loss from false positives.
Tailored licensing for your specific use case and scale.
Images are captured weekly across major retailers. The manifest and archive are updated monthly with new captures, ensuring you always have access to the latest seasonal retail imagery.
Yes. We offer retailer-specific packages for organisations focused on particular competitors or markets. Contact us to discuss your specific requirements.
The archive primarily covers UK retailers (Tesco, Sainsbury's, Asda, Morrisons, M&S, Waitrose, Aldi, Lidl, and more) with growing US coverage including Target, Walmart, Costco, and Whole Foods.
Absolutely. The archive was structured with CV/AI applications in mind. Consistent taxonomy, high-resolution images, and comprehensive metadata make it ideal for training retail recognition models, shelf analysis, and product detection systems.
Depending on license type and volume, delivery options include secure cloud transfer, physical drives for large archives, or API access for ongoing integration. We also support HuggingFace integration for ML workflows.
Each image includes: Event type, Year, Month, Week, Retailer, Category, and file reference. Full EXIF data is preserved. The CSV manifest allows easy filtering and programmatic access to the entire archive.
The largest, most comprehensive retail image dataset. Platinum-tier organisation with consistent taxonomy, validated metadata, and production-ready structure.
Access the most comprehensive retail image archive. 14 years of history. 316,653 images. One platform.