01
Share Your Data
Upload raw images, video, text, audio, or LiDAR securely — we ingest from cloud storage, SFTP, or your existing ML pipeline.
Annotation service
Bounding Box Annotation Services
Enterprise bounding box annotation for object detection — retail SKUs, vehicles, people, and industrial assets with multi-tier QA.
- Pixel-tight boxes on difficult captures
- Multi-class taxonomies at scale
- COCO and YOLO exports
- 99.5% QA targets
Service overview
Bounding boxes remain the workhorse of computer vision detection pipelines. Our bounding box annotation services deliver consistent, guideline-driven boxes for SKUs, vehicles, people, equipment, and custom classes — with QA depth that keeps recall and precision stable in production.
Precision boxes that models can learn from
Tight axis-aligned and rotated boxes with clear rules for truncation, overlap, and class ambiguity — reducing false positives when models deploy on messy field data.
Scale without sacrificing review
Dedicated detection pools, golden-set benchmarking, and weekly error mining as taxonomies grow from dozens to thousands of classes.
Tooling and export flexibility
Label in your toolchain or our workspace; export COCO JSON, YOLO, Pascal VOC, or custom schemas aligned to your training jobs.
QA built for detection metrics
Inter-annotator agreement on hard examples, auditor consensus, and mAP-oriented sampling on validation batches before release.
Enterprise security and SLAs
Encrypted ingest, role-based access, GDPR-ready handling, and 24/7 throughput for global ML release cadences.
Get started
Scope your bounding box program with our enterprise team — volume, class count, accuracy targets, and timeline — and receive a pilot plan within one business day.
Industries we serve
Our annotation process
A proven calibration-to-production workflow for enterprise annotation programs.
01
02
Project Analysis
We define labeling guidelines, class taxonomy, edge cases, and accuracy targets with your ML and product stakeholders.
03
Annotation
Trained annotators label bounding boxes, masks, tracks, transcripts, or 3D cuboids in your toolchain or our workspace.
04
Quality Assurance
Multi-pass review, consensus scoring, and automated checks before any dataset reaches your training jobs.
05
Delivery & Support
Receive COCO, JSON, Pascal VOC, or custom exports — plus ongoing support as your models and taxonomies evolve.
Service FAQ
Answers about scope, quality, tooling, and delivery.
Bounding boxes are ideal for object detection when approximate rectangular regions suffice. Polygons suit irregular shapes like shelves, lanes, or medical regions.
Yes. Guidelines define minimum visible area, truncation rules, and consensus review for heavily occluded objects.
Retail product detection, security person/vehicle boxes, automotive ADAS, agriculture drone surveys, and warehouse logistics.
Ready to start your bounding box annotation services project?
Talk to our enterprise team about volume, timeline, QA targets, and pricing.