Precise 2D and 3D rectangular labelling for object detection models. Our teams deliver frame-accurate, multi-class bounding box annotations for autonomous vehicles, retail AI, and surveillance systems — at scale and with 99.9% accuracy.
Bounding box annotation is the foundation of object detection AI. Our annotators draw precise rectangular boxes around every target object in your images or video frames, assigning class labels and attributes that your model needs to learn from.
We support 2D bounding boxes for standard image datasets, 3D cuboid annotation for LiDAR point clouds, and oriented bounding boxes (OBB) for rotated objects — giving your model the richest possible training signal.
Every annotation passes our three-tier quality review — annotator, reviewer, and QA lead — before delivery. We support all major annotation formats including COCO JSON, Pascal VOC XML, YOLO TXT and custom schemas.
Pedestrian, vehicle, and cyclist detection for ADAS systems. We annotate multi-class bounding boxes across diverse road conditions, lighting scenarios, and weather environments to train robust self-driving perception stacks.
Product detection for cashierless checkout AI and shelf monitoring systems. Our annotators label SKUs, packaging variants, and misplaced items with high precision to power computer vision at the retail edge.
Person, weapon, and vehicle detection for intelligent surveillance systems. We deliver consistent bounding box labels across low-light, crowded, and occluded scenes that are critical for reliable threat detection.
Defect and component detection on manufacturing assembly lines. Our teams annotate micro-scale defects, fasteners, welds, and part orientations to train quality control AI that performs at industrial throughput speeds.
Livestock and crop detection from drone and satellite imagery. We label animals, plant rows, irrigation infrastructure, and pest-affected regions to support precision agriculture and yield optimisation models.
Organ and lesion bounding boxes for diagnostic AI. Our annotators work from radiologist-defined guidelines to label tumours, nodules, and anatomical landmarks in CT, MRI, and X-ray datasets with clinical-grade accuracy.
We review your model architecture, dataset specifications, label taxonomy, and quality thresholds. Together we define class hierarchies, attribute schemas, edge-case handling rules, and inter-annotator agreement targets before a single image is touched.
A representative sample batch is annotated and reviewed against your guidelines before full production begins. The pilot surfaces ambiguous classes, boundary disagreements, and format issues early — saving time and rework downstream.
Our trained annotation teams work at speed with real-time quality dashboards and progress tracking. Annotators are matched to your domain — AV specialists for automotive datasets, biomedical annotators for medical imagery, and so on.
A three-tier review process — annotator self-check, peer review, and QA lead sign-off — is applied to every batch. Inter-annotator agreement checks confirm consistency, and the final dataset is delivered in your preferred format on schedule.
Multi-layer QA ensures every box is tight, correctly classified, and production-ready. We benchmark against your gold standard labels and report accuracy metrics with every delivery.
Scale from pilot to full production in days, not weeks. Our managed annotation teams are pre-trained on major object detection taxonomies and can onboard new projects in under 48 hours.
Your datasets are protected with enterprise-grade encryption, role-based access controls, signed NDAs, and secure data transfer protocols. We handle proprietary and sensitive imagery with full confidentiality.
Africa's talent advantage delivers world-class quality at 40–60% less than US and EU alternatives. You get the same accuracy and throughput at a fraction of the cost, with no compromise on QA rigour.
We deliver in COCO JSON, Pascal VOC XML, YOLO TXT, TFRecord, or any custom schema your training pipeline requires. Format conversion and validation are included at no extra charge.
A dedicated project manager keeps you updated at every milestone. You get a single point of contact for scope changes, delivery schedules, and quality escalations — no chasing ticket queues.
Get a custom quote within 24 hours. Our team is ready to discuss your dataset requirements and timeline.