manufacturing
Image Annotation
for Manufacturing
Defect Detection
Canada
Overview
Overview
A Canadian AI company developing computer vision solutions for manufacturing defect detection needed flexible image annotation for changing workloads, tools, and deadlines. Label Your Data annotated 60,000+ images across 20+ tasks, helping the client accelerate model iteration by 20%.
Client
A Canada-based software company develops AI and computer vision solutions for product manufacturing and defect detection. Its engineering team works across multiple annotation tasks and model development pipelines, requiring reliable training data as project requirements evolve.
Challenges
Annotation bottlenecks slowed the client’s manufacturing AI development and diverted its engineering team from model improvements. The company needed a reliable annotation partner capable of handling unpredictable workloads without compromising quality or delivery timelines.
Fluctuating workloads, ranging from 10 to 5,000 images per task.
Changing deadlines that previous annotation providers struggled to meet
Limited internal capacity for detailed QA and vendor communication
Different annotation tools required across model development pipelines
Solution
Label Your Data established a task-specific annotation workflow, starting each new request with a client briefing and sample batch. Video explainers and edge-case notes helped clarify requirements before production, while daily progress updates kept the client informed throughout delivery.
10 trained annotators, flexibly allocated based on task size and workload
50 sample annotations per task, reviewed by a QA lead before production
Tool-agnostic delivery across different annotation platforms and project pipelines
1–7-day turnaround per task, meeting every delivery deadline
Need High-Precision Training Data
for Defect Detection Models?
Results
Label Your Data helped the client accelerate its annotation workflows while reducing the operational workload. Consistent delivery and faster access to labeled data supported more frequent model iterations and allowed the engineering team to focus on improving its AI solutions.
60,000+ images annotated across 20+ tasks
20% faster model iteration, with less engineering time spent on data preparation and filtering
Improved model performance, as reported by the client’s Senior AI Engineer
Why AI Teams Choose Label Your Data
Data Annotation for Complex Environments
Rely on consistent, high-quality output for complex datasets, detailed taxonomies, and edge cases.
Structured Quality from Pilot to Production
Get quality engineered into every step through onboarding, evolving guidelines, QA, and continuous feedback.
Flexible and Scalable Operations
Adjust team capacity, project size, and delivery model as you scale, with no setup fees or long-term lock-ins.
An Integrated Delivery Partner
Align on goals, workflows, and expectations with a team that integrates into your process from day one.
Projects Led by Annotation Experts
Work with former annotators who understand annotation complexity, quality standards, and high-volume delivery.
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The flexibility and clear communication have helped us improve model performance. We've also saved engineering time by offloading some filtering tasks. On top of that, Label Your Data is just great to work with – polite and easygoing.
Senior AI Engineer
Canadian Manufacturing AI Company
Trusted by ML Professionals
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