Expert Bounding Box
Annotation Services
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.
Precision Object
Detection Labels
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.
- 2D, 3D and oriented bounding boxes
- Multi-class and multi-attribute labelling
- Tight boxes for small objects and dense scenes
- Frame-by-frame video object tracking
Built for Production ML
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.
Where Bounding Box Annotation
Powers Real AI
Autonomous Vehicles
Pedestrian, vehicle, and cyclist detection for ADAS systems. We annotate multi-class bounding boxes across diverse road conditions, lighting scenarios, and weather environments.
Retail Analytics
Product detection for cashierless checkout AI and shelf monitoring systems. Our annotators label SKUs, packaging variants, and misplaced items with high precision.
Security & Surveillance
Person, weapon, and vehicle detection for intelligent surveillance systems. Consistent bounding box labels across low-light, crowded, and occluded scenes.
Industrial Inspection
Defect and component detection on manufacturing assembly lines. Annotate micro-scale defects, fasteners, welds, and part orientations for quality control AI.
Agricultural AI
Livestock and crop detection from drone and satellite imagery. We label animals, plant rows, irrigation infrastructure, and pest-affected regions.
Medical Imaging
Organ and lesion bounding boxes for diagnostic AI. Label tumours, nodules, and anatomical landmarks in CT, MRI, and X-ray datasets with clinical-grade accuracy.
How We Deliver
Annotation Excellence
Requirements Scoping
We review your model architecture, dataset specifications, label taxonomy, and quality thresholds before a single image is touched.
Pilot Annotation
A representative sample batch is annotated and reviewed against your guidelines before full production begins.
Production at Scale
Our trained annotation teams work at speed with real-time quality dashboards and progress tracking.
QA & Delivery
Three-tier review — annotator self-check, peer review, and QA lead sign-off — applied to every batch.
Why Impact Outsourcing
for Bounding Box Annotation?
99.9% Accuracy
Multi-layer QA ensures every box is tight, correctly classified, and production-ready.
Fast Turnaround
Scale from pilot to full production in days, not weeks. Pre-trained teams onboard new projects in under 48 hours.
ISO 27001 Security
Enterprise-grade encryption, role-based access controls, signed NDAs, and secure data transfer protocols.
Cost-Efficient
World-class quality at 40–60% less than US and EU alternatives — no compromise on QA rigour.
Format Flexibility
COCO JSON, Pascal VOC XML, YOLO TXT, TFRecord, or any custom schema. Format conversion included.
Dedicated PM
A dedicated project manager for scope changes, delivery schedules, and quality escalations.
Ready to Scale Your Bounding Box Annotation?
Get a custom quote within 24 hours. Our team is ready to discuss your dataset requirements and timeline.