Computer Vision

Computer Vision

Stop Losing AI Development Time to Annotation Bottlenecks
Computer Vision

Our domain-skilled workforce, exhaustive annotation coverage, and rigorous QA processes create datasets that accelerate model performance from day one.

Enterprise-Scale Operations—10 to 500+ Annotators in 2-3 Weeks
Enterprise-Scale Operations—10 to 500+ Annotators in 2-3 Weeks

Deploy from 3,500+ total workforce across 9 Indian locations. Process millions of images monthly with 24/7 operations. Scale instantly for autonomous vehicle datasets, retail catalogs, medical imaging. 50 annotators for pilots deployed in 1 week, 200+ for production operational in 3 weeks. Geographic distribution ensuring business continuity, redundancy, round-the-clock coverage matching global development cycles.

Complete Annotation Type Coverage—Every Computer Vision Task
Complete Annotation Type Coverage—Every Computer Vision Task

Bounding boxes, polygon annotation, semantic segmentation, instance segmentation, polyline annotation, keypoint annotation (pose/facial landmarks), 3D cuboids, video tracking. One partner handling all annotation types. Bounding boxes for object detection, precise polygons for irregular shapes, pixel-level segmentation, polylines for lane marking, keypoints (17+ body points, 68+ facial landmarks), frame-by-frame video tracking with temporal consistency.

>95% Annotation Accuracy with Multi-Tier Quality Validation
>95% Annotation Accuracy with Multi-Tier Quality Validation

Peer review, supervisor sampling, automated QA, consensus labeling. >95% inter-annotator agreement across all annotation types. Validation catches errors before delivery: peer review identifying mistakes, supervisor sampling ensuring consistency, automated tools detecting outliers and geometric inconsistencies, consensus labeling resolving ambiguous cases. Training-ready datasets immediately, not after months of quality fixes.

Industry-Specific Training—Not Generic Computer Vision Labeling
Industry-Specific Training—Not Generic Computer Vision Labeling

Automotive annotators trained on vehicles/pedestrians/traffic scenarios. Medical imaging teams learning anatomical structures. Retail specialists identifying products/brands. Manufacturing experts recognizing defects. Agriculture teams understanding crop diseases. Custom training using your reference data, classification systems, quality benchmarks. Dedicated teams deliver annotations that work for your specific use case and domain requirements.

Cross-Industry Expertise—Proven Delivery Across Major Applications
Cross-Industry Expertise—Proven Delivery Across Major Applications

16+ years annotating: autonomous vehicles (LiDAR, 3D cuboids, sensor fusion), retail (product catalogs, visual search, shelf analytics), manufacturing (defect detection, assembly verification), healthcare (organ segmentation, lesion detection), agriculture (crop monitoring, disease identification), security (surveillance, activity recognition). Millions of frames across industries. Not experimenting—delivering proven domain expertise at scale.

Rapid Deployment—1-2 Week Pilots, Production in Week 3
Rapid Deployment—1-2 Week Pilots, Production in Week 3

Pilot projects operational in 1-2 weeks demonstrating >95% accuracy before commitment. Production teams deployed in 2-3 weeks processing thousands of images daily. Daily/weekly batch deliveries matching sprint cycles. Week 1: requirements, training, guidelines. Week 2: pilot annotation (100-1,000 images), quality validation. Week 3+: production scale with regular deliveries, real-time quality monitoring, continuous improvement.

40-60% Cost Reduction—Transparent Pricing, No Hidden Fees
40-60% Cost Reduction—Transparent Pricing, No Hidden Fees

Indian operations delivering 40-60% savings versus US/European teams, 30-40% versus in-house Indian teams. Per-image, per-object, per-video-minute, or monthly capacity pricing. Volume discounts at scale. All-inclusive: training, quality validation, project management. Transparent pricing. Shared infrastructure across clients slashes per-unit costs. No hidden costs or quality compromises.

Technology Integration—20+ Platforms, All Standard Formats
Technology Integration—20+ Platforms, All Standard Formats

Experience with Labelbox, V7, CVAT, Scale, SuperAnnotate, and 15+ other platforms plus custom tools. Delivery in COCO, Pascal VOC, YOLO, JSON, XML, CSV, custom schemas matching ML pipeline. Platform-agnostic expertise. Automated QA tools, consensus systems, validation frameworks. ISO 27001 security processes: encrypted transmission, role-based access, secure environments, comprehensive NDAs. Flexible delivery: cloud-based, on-premise, or hybrid.

Our Proven Annotation Process—Structured Quality from Day One
Our Proven Annotation Process—Structured Quality from Day One

Week 1: Requirements workshop, taxonomy development, annotator training using reference images. Week 2: Pilot annotation, quality measurement (accuracy, inter-annotator agreement), guideline refinement. Week 3+: Production with daily/weekly batches, ongoing quality validation, continuous optimization. Structured approach capturing use case, annotation requirements, class definitions, edge case handling. Train annotators on domain and quality standards. Pilot validates quality before scaling.

Measurable Results—50M+ Annotations, Proven at Scale
Measurable Results—50M+ Annotations, Proven at Scale

50 million+ annotations delivered annually. >95% inter-annotator agreement maintained at scale. 3,500+ total workforce across 9 locations. Zero data security incidents in 16 years. Projects from 10 to 500+ annotators successfully delivered. Annotated millions of autonomous vehicle frames, massive retail catalogs (100K+ SKUs), complex medical imaging, manufacturing quality control, agriculture datasets, security and surveillance projects. Proven track record of quality, security, on-time delivery at enterprise scale.

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