Retail Datasets for Retail Analytics and Loss Prevention AI
Shelf imagery, product recognition, and in-store behavior datasets with product-level annotations and planogram compliance labels. Built for retail AI, loss prevention, and store operations systems.
20+
Years in AI training data
1,000+
Language locales
1M+
Hours of video annotated
ISO
27001 certified
The Challenge
Beyond Public Retail Benchmarks
SKU-110K and RPC advanced product detection in retail. Production retail AI for planogram compliance, loss prevention, and customer analytics requires data from your store environment, your product catalog, and your camera infrastructure.
Planogram compliance AI must recognize your specific SKUs across your store format. Loss prevention AI must detect concealment behaviors in your camera coverage zones. Customer analytics AI must track shopper flow in your store layout. Generic retail datasets cannot provide this.
Off-the-shelf retail datasets suffer from SKU catalog mismatches (benchmark product sets differ entirely from yours) and store format gaps (convenience store imagery does not transfer to hypermarket, pharmacy, or specialty retail formats).
LXT builds custom retail datasets from your store environments and product catalog. We deliver planogram-annotated shelf imagery, in-store behavior datasets, and product recognition training data matched to your retail AI applications.
Why Teams Upgrade
Limitations of Public Retail AI Datasets
Standard benchmarks serve research well. Production deployments need more.
| Dataset | Primary Limitation | Impact |
|---|---|---|
| SKU-110K | 11,762 densely packed shelf images; limited product categories; no planogram ground truth or out-of-stock annotation | No planogram |
| RPC (Retail Product Checkout) | Checkout counter only; 200 products; no shelf context or store behavior coverage | Checkout-only |
| RP2K | 2,000 product categories; still limited to product detection; no store behavior or compliance annotation | Product-only |
| Grocery Store Dataset | Fixed-camera grocery only; limited product diversity; no behavior or loss prevention annotation schema | Grocery-only |
| ProductNet | Web-scraped product images; studio photography bias; no shelf context, planogram, or in-store conditions | Studio bias |
Not sure which specs you need?
Our data specialists help you scope the right dataset for your model architecture.
Configurable Specifications
Specs Built Around Your Model
Public datasets come fixed. Yours is configured for your architecture, environment, and use case.
Retail Coverage
Data Scope
- Store Formats: Grocery, pharmacy, convenience, specialty, and hypermarket formats
- Product Catalog: Your specific SKU set with facings, orientations, and packaging variants
- Camera Setup: Matched to your CCTV, shelf camera, or checkout camera infrastructure
Annotation Types
Label Coverage
- Product Detection: Per-SKU bounding boxes with product ID, brand, and category labels
- Planogram Compliance: Expected vs actual shelf position and facing count annotations
- Behavior Labels: Shopper activity, dwell time events, and loss prevention triggers
Environmental Scope
Store Conditions
- Lighting: Natural, fluorescent, and mixed store lighting conditions
- Time of Day: Peak, off-peak, and overnight restocking scenarios
- Shelf States: Full, partial, empty, and misplaced product configurations
Need a custom configuration?
We've built datasets across dozens of domains and use cases. Let's scope yours.
Capturing Complexity
Edge Cases in Retail AI
High-accuracy models handle rare attributes that public datasets miss.
Product Occlusion and Partial Visibility
Products are partially hidden by neighboring SKUs, customer hands, and shelf fixtures. Explicit occlusion annotation and partially visible product examples ensure robust detection.
Packaging Variation and Refresh
Product packaging changes with promotions and rebrands. Annotation update protocols and versioned product taxonomy ensure classifier currency as your catalog evolves.
Loss Prevention Concealment Behaviors
Shoplifting involves specific concealment gestures and dwell patterns. Annotation of behavior precursors alongside final concealment events trains predictive loss prevention models.
Dense Shelf Packing
Promotional displays and dense shelf packing create instance detection challenges. Instance-level annotation with overlap flags ensures detection models handle real shelf density.
Ground Truth Quality
Human-in-the-Loop Annotation
Precise annotation bridges raw data and learnable signal. Expert annotators deliver precision automated tools can't match.
Product Detection Annotation
Expert annotators draw per-SKU bounding boxes with product ID and category labels from your catalog. Planogram position and facing count labels included.
Planogram Compliance Labels
Expected planogram layout compared to annotated shelf state, with out-of-stock, misplaced, and non-compliant facing annotations for compliance AI training.
Behavior and Event Annotation
Shopper activity labels, dwell time events, and loss prevention behavior markers annotated from store camera footage under privacy compliance protocols.
Industry Applications
Retail Datasets for Your Domain
Custom taxonomies and collection protocols for specific deployment contexts.
Planogram Compliance
Shelf audit automation, out-of-stock detection
Loss Prevention
Concealment detection, shrink reduction
Checkout AI
Self-checkout, scan verification, frictionless payment
Customer Analytics
Shopper flow, dwell analysis, conversion funnels
Inventory AI
Stock level monitoring, replenishment triggers
Product Recognition
Visual search, price check, product info apps
Retail Robotics
Shelf scanning robots, autonomous auditing
Global Retail
Multi-market store format and product catalog coverage
Compliance & Ethics
Secure and Ethical Data Collection
Data collection involving people and sensitive content requires robust security, compliance, and ethical protocols at every stage.
Global Demographic Reach
Collection across 1,000+ locales and diverse demographics to prevent algorithmic bias in your deployed models.
ISO 27001 Certified
Sensitive projects processed in certified secure facilities meeting the highest information security standards.
GDPR & Privacy Compliance
All collection and annotation protocols vetted for consent and privacy. Legally robust for global deployment.
Frequently Asked Questions
Retail Dataset FAQs
Can you collect from our actual store locations?+
Yes. We conduct in-store collection under retail partnership agreements. Store collection is scheduled to minimize operational disruption.
Can you use our product catalog for annotation taxonomy?+
Yes. We ingest your SKU catalog and build annotation guidelines from your product information. Annotation is directly linked to your product IDs for seamless integration.
How do you handle customer privacy in store video annotation?+
We process store footage under data processing agreements. Customers are not identified and faces are blurred before annotation. All handling follows GDPR and applicable privacy regulations.
Can you annotate planogram compliance against our planogram files?+
Yes. We use your planogram specifications as annotation ground truth and mark shelf states as compliant, non-compliant, or out-of-stock per your layout.
What does a custom retail dataset cost?+
Projects range from $15K for focused single-store or single-category datasets to $120K+ for large multi-store, multi-format collections with full behavior annotation.
How frequently can you update the dataset as our catalog changes?+
We offer subscription dataset update services that refresh annotation as your product catalog evolves, including new SKU onboarding and packaging change updates.
Can you provide loss prevention specific datasets?+
Yes. Loss prevention behavior annotation from store footage is available under strict privacy compliance protocols and typically requires a direct retail partnership agreement.
Get Started
Scope Your Custom Retail Dataset
Share your store format, product catalog, and AI application requirements. A retail AI data specialist will provide a detailed proposal within 48 hours.
Please provide us with the details of your inquiry and one of our team members will be in touch.
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