Data Annotation Services for Computer Vision
At Sysqube, we empower AI-driven organizations with high-precision data annotation services designed specifically for Computer Vision applications. We deliver specialized, high-accuracy data labeling and annotation services for offshore companies developing Computer Vision models for automated fault detection and quality inspection.
We act as your extended annotation team—scalable, reliable, and trained specifically for industrial inspection use cases. With deep expertise in labeling defects, anomalies, issues across various manufacturing sectors, Sysqube ensures that your AI models receive clean, consistent, and production-ready datasets that accelerate model performance and reduce development time.
Our Specialization: Data Annotation for Fault Detection
Computer Vision for fault detection requires more than standard labeling—it demands domain understanding, attention to micro-details, and consistent annotation across large datasets.
Sysqube specializes in annotating:
- Microscopic defects
- Surface scratches and dents
- Cracks, breaks, and deformities
- Color inconsistencies
- Dimensional variations
- Missing components
Why Offshore Companies Choose Sysqube?
1. Domain-Trained Annotation Teams
Our annotators undergo specialized training for fault detection, defect classification, and anomaly labeling.
This ensures that every dataset reflects deep understanding—not just basic drawing of bounding boxes.
2. Cost-Effective Offshore Outsourcing
Sysqube provides high-quality annotation at cost-efficient offshore pricing, enabling companies to scale annotation workloads without inflating project budgets.
3. Fast Turnaround with Scalable Teams
We support rapid project scaling through flexible, trained teams that adapt to your workload—whether you need 5 annotators or 50.
4. Precision, Accuracy & Consistency
Every annotation goes through multi-layered QA checks to maintain the defect-level accuracy required by fault detection models.
5. Seamless Integration with Your Workflow
We work with your preferred annotation tools, formats, guidelines, and delivery standards—making us an extension of your in-house ML/AI team.
Our Data Annotation Services for Fault Detection
Defect Detection Annotation
Labeling of scratches, cracks, wear, contamination, missing parts, and material irregularities with bounding boxes, polygons, or segmentation masks.
Classification & Tagging
Categorizing defect types, severity levels, surface areas, part types, and failure modes.
Our Standard Annotation Workflow
At Sysqube, we follow a structured and quality-driven annotation workflow designed to deliver high-accuracy, consistent, and production-ready datasets for Computer Vision fault detection systems.
Our process ensures complete alignment with client requirements while maintaining rigorous quality control at every stage.