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Vision AI
Pupil
Segmentation & Maritime Object Tracking
France
Overview
Nexvision needed detailed annotations across multiple vision tasks to support model training for gaze detection and maritime tracking.
(ellipse masks)
(bounding boxes)
(object tracking)
Client
French embedded vision company serving defense, aerospace, and industrial sectors.
Challenges
Needed high-precision labels across eye and maritime footage, with tool constraints and shifting batch volumes.
Solutions
Labeled 70k images and 4k videos using CVAT and client tools; 3 workflows ran in parallel with QA and feedback cycles.
Results
All datasets delivered on time; supported model training for gaze detection and maritime awareness with no quality concerns.
Client
Nexvision is a French company building advanced embedded vision systems for defense, aerospace, security, and industrial applications.
Challenges
Pupil detection required ellipse-level precision automated tools couldn't deliver
Maritime footage needed manual object tracking with dynamic camera motion
Tasks spanned different pipelines: some required internal tool, others CVAT
Batch sizes and project timelines changed frequently, requiring flexible delivery
Solution
Label Your Data split the work into three parallel workflows. Batches were delivered regularly, with feedback incorporated between cycles.
For pupil segmentation, 40 000 images were labeled using Nexvision’s internal tool with precise ellipse masks
For eye detection, 30 000 images were annotated with bounding boxes using CVAT
For maritime tracking, 4 000 videos were manually labeled with object tracks in CVAT
Training
Each stream began with written guidelines and a kickoff call.
Annotators completed small pilot batches before moving to full production.
No major rework was required thanks to strong initial alignment.
Results
3 complex annotation pipelines delivered in parallel
Gaze model training supported by 40k accurate ellipse masks
Maritime model improved with 4k hand-tracked video segments
Flexible team size adapted to shifting batch scope
All batches delivered on time with no quality issues reported
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As a company developing optronic systems, we rely on high-quality annotated datasets to analyze sensor data. Label Your Data is fully integrated into our model-building process and has proven to be a flexible, reliable partner for our annotation needs.
Victor Martin-Lac
Machine Learning Engineer
Trusted by ML Professionals
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.