Bounding Boxes
2D boxes for object detection, tightly fitted and consistent across classes, occlusions, and truncated objects.
Image Annotation Services
Train computer vision models on precisely labeled images. Smart Annotahub delivers bounding boxes, polygons, keypoints, and pixel-level segmentation at scale, with multi-stage QA on every batch.
Types of Image Annotation We Offer
Polygon Annotation
Vertex-accurate outlines for irregular shapes such as vehicles, products, rooftops, and anatomy.
Semantic Segmentation
Pixel-level class masks for scene understanding, with clean boundaries and no unlabeled gaps.
Instance Segmentation
Separate masks for every object instance, so models can count and track individual items.
Keypoints and Skeletons
Landmark and pose annotation for faces, bodies, hands, and articulated objects.
Classification and Tagging
Image-level labels and attributes for content moderation, retrieval, and dataset curation.
How We Deliver Image Annotation
From your first sample to production volume, every project follows the same six-step path, with no commitment until the pilot proves the quality.
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Step 01
NDA and Discovery
We sign an NDA first, then clarify your goals, taxonomy, edge cases, and target accuracy for the image dataset.
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Step 02
Free Pilot
We annotate a sample of your image dataset at no cost, so you can judge quality, speed, and edge-case handling first-hand.
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Step 03
Proposal and Agreement
Based on your pilot feedback, we finalize scope, timeline, pricing, and the Service Level Agreement.
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Step 04
Team Setup and Training
We assemble a dedicated team, train it on your guidelines, and agree on communication channels and progress tracking.
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Step 05
Production Labeling
Our team runs image annotation to the agreed plan, with throughput and accuracy KPIs tracked for every annotator.
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Step 06
QA and Delivery
Your annotated images pass multi-stage quality review before delivery. Your feedback feeds straight back into the guidelines.
Image Annotation for Your Industry
We adapt taxonomies and edge-case rules to the domain, so the labels match how your model will be used in production.
Autonomous Driving
Vehicles, pedestrians, lanes, and traffic signs across weather and lighting conditions.
Retail and E-commerce
Product detection, shelf monitoring, and attribute tagging for catalog search.
Manufacturing
Defect detection and surface inspection on production-line imagery.
Agriculture
Crop, weed, and fruit detection from field cameras and drones.
Healthcare
Region-of-interest outlining on medical images under expert review.
Tools we work in
Your platform or ours. We adapt to existing pipelines, review stages, and export schemas.
Why AI Teams Choose Smart Annotahub
Start with a free image annotation pilot
Tell us about your data and requirements. We'll return an annotated sample with a precise quote, usually within a few working days.
Thank you.
We’ve received your request and will be in touch soon.
Reviews
From our Clients
“Their flexibility and ability to move fast impress us.”
We chose Smart Annotahub for its strong value, recommendation, and shared company values. Their 10-person team delivered accurate data annotation with a flexible, collaborative approach. They responded quickly, went the extra mile to meet deadlines, and kept the project on track. We’ve been very pleased with the experience and have no improvements to suggest at this time.
Project Manager
“They’re always willing to adapt quickly to our needs and help keep the project on track.”
The team is highly responsive and flexible, quickly adapting to our needs to keep the project on track. Clear, detailed annotation guidelines help them deliver accurate results faster.
Director
“Communication with the team is smooth, clear, and effortless.”
We chose Smart Annotahub for its expertise, openness to new ideas, and strong interest in autonomous vehicles. Their team provides consistent cuboid and polygon annotation for our growing image dataset, with responsive communication, attentive project management, and reliable quality assurance. We’re very pleased with the collaboration and look forward to continuing our work together.
Director of Engineering
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Image Annotation FAQs
What image annotation accuracy can you guarantee?
Accuracy targets are agreed per project during the pilot. Multi-stage review and spot-checks keep production batches at or above the agreed threshold, and every delivery comes with a QA report.
How do you handle edge cases and ambiguous objects?
Edge cases are logged, escalated to the project lead, and turned into written guideline updates so every annotator applies the same rule from then on.
Can you work with our existing labels?
Yes. We can validate and correct pre-annotations or model predictions, which is often faster and cheaper than labeling from scratch.
How quickly can an image annotation project start?
Most pilots start within a few days of receiving sample data. Production teams are typically ready shortly after guidelines are approved.