Comprehensive computer vision annotation covering all major use cases and data types.
Bounding boxes with precise coordinates and classification.
Pixel-perfect semantic and instance segmentation.
Complex shape outlining for irregular objects.
Precise landmark identification and pose estimation.
Spatial labeling for depth and volumetric data.
Multi-frame object tracking and temporal annotation.
99.2%
Sub-pixel precision for bounding boxes and masks.
Cars, pedestrians, cyclists, traffic signs, road markings.
Lane boundaries, intersections, merge points.
X-rays, MRIs, CT scans, ultrasounds.
Cell detection, tissue classification, anomaly identification.
Surface defects, assembly errors, component validation.
Component presence, orientation, positioning.
Needed 500K+ high-precision annotations for urban driving scenarios in Latin American cities.
"The team's understanding of Latin American urban environments was crucial. They caught edge cases our previous annotators missed."
— Senior ML Engineer, AV Unicorn
Multi-layer quality assurance for maximum accuracy.
Trained CV specialists perform initial labeling.
Cross-validation by domain experts.
Computer vision leads perform final validation.
Algorithm-based consistency and format validation.
Transparent pricing based on complexity and volume.
5+ years computer vision
3+ years specialized annotation
Industry-specific expertise
1-2 years annotation