Product Recognition
SKU-level detection and classification for checkout-free and self-checkout systems.
Power product search, shelf analytics, and store intelligence with accurately labeled images, video, and text. Smart Annotahub adapts taxonomies to your catalog and store formats.
SKU-level detection and classification for checkout-free and self-checkout systems.
Out-of-stock, planogram compliance, and price-tag detection from store cameras.
Color, material, style, and category tagging for search and recommendations.
Foot traffic, dwell time, and queue length from in-store video.
Aspect-based sentiment on product reviews and support conversations.
Similarity and matching labels for shop-the-look experiences.
The data types retail teams send us most often. Every service starts with a free pilot.
From your first sample to production volume, every project follows the same six-step path, with no commitment until the pilot proves the quality.
We sign an NDA first, then clarify your goals, taxonomy, edge cases, and target accuracy for your dataset.
We annotate a sample of your data at no cost, so you can judge quality, speed, and edge-case handling first-hand.
Based on your pilot feedback, we finalize scope, timeline, pricing, and the Service Level Agreement.
We assemble a dedicated team, train it on your guidelines, and agree on communication channels and progress tracking.
Our team runs annotation to the agreed plan, with throughput and accuracy KPIs tracked for every annotator.
Your labeled data pass multi-stage quality review before delivery. Your feedback feeds straight back into the guidelines.
Reviews
We chose Smart Annotahub for its strong value, recommendation, and shared company values. Their 10-person team delivered accurate data annotation with a flexible, collaborative approach. They responded quickly, went the extra mile to meet deadlines, and kept the project on track. We’ve been very pleased with the experience and have no improvements to suggest at this time.
The team is highly responsive and flexible, quickly adapting to our needs to keep the project on track. Clear, detailed annotation guidelines help them deliver accurate results faster.
We chose Smart Annotahub for its expertise, openness to new ideas, and strong interest in autonomous vehicles. Their team provides consistent cuboid and polygon annotation for our growing image dataset, with responsive communication, attentive project management, and reliable quality assurance. We’re very pleased with the collaboration and look forward to continuing our work together.
Tell us about your data and requirements. We'll return an annotated sample with a precise quote, usually within a few working days.
We’ve received your request and will be in touch soon.
Yes. We map labels to your existing catalog hierarchy and flag ambiguous products for review instead of guessing.
Annotators work from reference galleries and a searchable SKU list, and reviewers audit fine-grained classes separately.
Yes, including tracking shoppers and interactions with privacy rules such as face blurring when required.
Most pilots start within a few days of receiving sample images and your category list.