Defect Detection
Scratches, cracks, dents, and misalignments at pixel-level precision.
Data Annotation for Manufacturing and Logistics
Catch defects earlier and move goods faster. Smart Annotahub labels inspection imagery, production-line video, and warehouse data with the precision quality teams expect.
AI Use Cases We Support in Manufacturing and Logistics
Assembly Verification
Component presence and orientation checks on production lines.
Worker Safety
PPE compliance and unsafe-zone detection from factory cameras.
Package and Pallet Tracking
Parcels, labels, and pallets across warehouse workflows.
OCR and Document Data
Serial numbers, shipping labels, and invoices extracted accurately.
Predictive Maintenance
Machine sound and sensor events tagged for anomaly models.
Annotation Services for Manufacturing and Logistics
The data types manufacturing and logistics teams send us most often. Every service starts with a free pilot.
How We Deliver Your Project
From your first sample to production volume, every project follows the same six-step path, with no commitment until the pilot proves the quality.
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Step 01
NDA and Discovery
We sign an NDA first, then clarify your goals, taxonomy, edge cases, and target accuracy for your dataset.
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Step 02
Free Pilot
We annotate a sample of your data at no cost, so you can judge quality, speed, and edge-case handling first-hand.
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Step 03
Proposal and Agreement
Based on your pilot feedback, we finalize scope, timeline, pricing, and the Service Level Agreement.
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Step 04
Team Setup and Training
We assemble a dedicated team, train it on your guidelines, and agree on communication channels and progress tracking.
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Step 05
Production Labeling
Our team runs annotation to the agreed plan, with throughput and accuracy KPIs tracked for every annotator.
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Step 06
QA and Delivery
Your labeled data pass multi-stage quality review before delivery. Your feedback feeds straight back into the guidelines.
Why AI Teams Choose Smart Annotahub
Reviews
From our Clients
“Their flexibility and ability to move fast impress us.”
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.
Project Manager
“They’re always willing to adapt quickly to our needs and help keep the project on track.”
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.
Director
“Communication with the team is smooth, clear, and effortless.”
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.
Director of Engineering
Start with a free pilot
Tell us about your data and requirements. We'll return an annotated sample with a precise quote, usually within a few working days.
Thank you.
We’ve received your request and will be in touch soon.
Explore Other Industries
Manufacturing and Logistics FAQs
Can you label very small defects?
Yes. We work at full resolution with zoom-level guidelines and define minimum defect sizes during the pilot.
What if defects are rare in our data?
We flag and prioritize rare classes, and can review model predictions to find hard examples faster.
Do you sign NDAs for production imagery?
Always. Every project starts with an NDA and runs in access-controlled environments.
Can you support multiple factories or lines?
Yes. Guidelines are versioned per line or product so labels stay consistent across sites.