Image Annotation Services

Pixel-level accuracy is determined by the annotator holding the tool, not the tool itself. iMerit builds custom annotation workflows for each program, staffs them with domain-trained teams, and applies two-stage QA to every batch. You get labeled images that meet your acceptance criteria. We own the quality, end to end.

Image Annotation Services

HOW iMERIT DELIVERS PRODUCTION-READY IMAGE DATA

End-to-end image annotation services built for accuracy, scale, and seamless integration into your AI pipeline.

BUILT FOR PRODUCTION

BESPOKE WORKFLOWS. MANAGED DELIVERY. QUALITY WE OWN.

BESPOKE ANNOTATION WORKFLOW

We design your annotation schema, label taxonomy, and QA rules before a single image is labeled. Every program is calibrated to your specific data distribution and acceptance criteria.

DOMAIN-TRAINED WORKFORCE

Annotators assessed on domain-specific curricula before going live. Teams are trained on your taxonomy during the pilot phase and calibrated against your ground truth before scaling.

TWO-STAGE QA ON EVERY BATCH

Production and QA are separate stages on every program. Custom validation rules catch class errors, missed instances, and boundary inconsistencies before export. You don’t review our mistakes.

DIRECT PIPELINE INTEGRATION

Labeled data delivered directly into your training pipeline via SDK, API, and webhook. Powered by Ango Hub, our purpose-built annotation platform, without requiring any integration lift on your side.

VERTICAL-SPECIFIC EXPERTISE

Dedicated teams for medical imaging, AV, geospatial, agriculture, retail, and industrial inspection. Domain expertise is built in, not bolted on.

ANNOTATION CAPABILITIES

Every image annotation type your computer vision model requires.

bounding-box-annotation

BOUNDING BOX ANNOTATION

Highest-throughput annotation type for object detection and localization. iMerit supports rectangular and oriented bounding boxes with custom attribute taxonomies and multi-class labeling.
Semantic segmentation

SEMANTIC SEGMENTATION

Per-pixel class assignment across images covering road surface, vegetation, sky, structures, and dynamic objects, with inter-annotator consistency enforced across batches.
instance-segmentation

INSTANCE SEGMENTATION

Individual object boundary delineation where both class and instance identity are required. This is critical for counting, tracking, and fine-grained object understanding at the pixel level.
keypoint-annotation

KEYPOINT ANNOTATION

Point-level annotation for pose estimation, facial landmark detection, joint localization, and biomechanical analysis across human, animal, and object subjects at any scale.
POLYGON & POLYLINE ANNOTATION

POLYGON & POLYLINE ANNOTATION

Precise shape-level annotation for objects with complex contours, lane markings, road boundaries, and curb traces that bounding boxes cannot accurately represent.
Annotation-capabilities-image-classification

IMAGE CLASSIFICATION

Single-label and multi-label classification across custom taxonomies, covering scene understanding, defect classification, crop health scoring, and content moderation programs.

CASE STUDY

KinaTrax, one of MLB’s primary motion capture vendors, needed to annotate terabytes of pitcher footage captured from twelve simultaneous angles. iMerit extracted still images across all twelve angles and applied precise keypoint annotations to each joint. The result was a skeletal dataset that trained models capable of analyzing pitching mechanics from any viewing angle.

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3D pitcher models built from multi-angle motion capture footage

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Simultaneous viewing angles annotated per pitcher

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Images labeled by iMerit across computer vision programs globally

HIGH-QUALITY DATA, DELIVERED. EVERY TIME.

A bounding box drawn by someone who doesn’t understand your data distribution is wrong in ways that are hard to detect and expensive to fix. iMerit trains annotators on your specific taxonomy, calibrates against your ground truth during a pilot, and runs two-stage QA on every batch. Boundary accuracy is our responsibility.

Taxonomy design before annotation begins

TAXONOMY DESIGN BEFORE ANNOTATION BEGINS

We design your label taxonomy and annotation rules before a single image is labeled. Edge case parameters are defined upfront so annotators make consistent decisions at scale, not improvised ones.

Annotator calibration against your ground truth

ANNOTATOR CALIBRATION AGAINST YOUR GROUND TRUTH

Annotators are calibrated against your ground truth during the pilot phase. Teams that don’t meet your acceptance criteria don’t advance to production. Quality is validated, not assumed.
Two stage QA on every batch

TWO-STAGE QA ON EVERY BATCH

Production and QA are separate stages on every batch. Custom validation rules catch class errors, missed instances, and boundary inconsistencies before export. You don’t review our mistakes.
Domain specific annotator teams

DOMAIN-SPECIFIC ANNOTATOR TEAMS

Medical imaging, AV, geospatial, agriculture, retail, and industrial programs are staffed by teams trained in that domain. Generic annotators don’t label specialized data on iMerit programs.

BY THE NUMBERS

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Images labeled across computer vision programs

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Full-time domain-trained annotators

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Industry verticals served

ISO 27001

SOC 2 Type II · HIPAA · GDPR compliance

INDUSTRY VERTICALS

Purpose-built image annotation expertise across every domain that trains on visual data.

Lane detection, object recognition, semantic segmentation, and ADAS perception annotation across diverse real-world driving conditions.

Organ segmentation, lesion detection, radiology image labeling, and DICOM annotation with clinical expert review for diagnostic and surgical AI.

Land use classification, infrastructure detection, vegetation mapping, and change analysis across aerial, drone, and satellite imagery.

Crop and weed labeling, plant disease detection, canopy and field feature annotation for precision agriculture AI.

Product detection, catalog labeling, shelf intelligence, and visual search annotation to improve recommendation accuracy at scale.
CONSTRUCTION-&-INDUSTRIAL

INDUSTRIAL INSPECTION

Defect detection, crack and corrosion identification, weld quality labeling, and anomaly classification across manufacturing and infrastructure programs.
SPORTS-&-BIOMECHANICS

SPORTS & BIOMECHANICS

Keypoint and pose annotation for athlete performance analysis, injury prevention, motion capture processing, and sports AI model training.

Object boundary annotation, depth and spatial relationship labeling, grasp training data, and visual perception datasets for manipulation and navigation models.

Frequently Asked Questions

iMerit supports bounding boxes, polygons, key‑points, semantic segmentation, panoptic segmentation,3D cuboid annotation, rapid annotation, and image classification, with workflows tuned to your taxonomy and quality targets. We also support polyline and LiDAR annotation.

Programs use custom QA processes, reviewer calibration, and multi‑stage validation. iMerit’s Computer Vision teams have labeled 100M+ images and videos, with specific handling for edge cases and nuanced taxonomies.

Yes. iMerit combines computer‑assisted/pre‑annotation with expert review to improve throughput while meeting precision targets; this can run in your tools or on Ango. Rapid annotation is also available for suitable file types.

Yes. iMerit has domain-focused teams for autonomous mobility, robotics, medical AI, geospatial, agricultural, government, finance and insurance, commerce/retail, and enterprise companies.

We combine clear guidelines, calibrated experts, and multi-level QA to meet your acceptance criteria. Quality is tracked through defined metrics (IoU, error rates, per-class performance) and shared in regular reports.

Yes, image tasks can be paired with text annotation for multimodal training (e.g., IDP, image captioning/summarization, product recognition).

 

Yes. We can work directly in your annotation tools or run projects on iMerit’s Ango Hub, with API and plugin-based integrations into your data pipelines and model workflows.

We begin with scope and taxonomy alignment, define acceptance criteria and QA, then launch a pilot batch to calibrate quality and throughput before scaling.

iMerit is certified with SOC 2, ISO 27001/9001, GDPR, HIPAA, TISAX with strict access controls, NDAs, and full audit trails for sensitive projects.

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