Image annotation is one of those tasks that sounds simple until the volume starts growing. Drawing boxes, labeling objects, checking edge cases, reviewing messy image sets - it takes time, patience, and a team that understands why accuracy matters.

That is why many AI teams, product companies, healthcare platforms, retail businesses, mapping tools, and robotics firms work with image annotation outsourcing companies. These partners help prepare visual data for computer vision models by handling tasks like bounding boxes, segmentation, keypoint annotation, image classification, and quality checks.

This article is not a step-by-step guide. It is a list of companies that provide image annotation outsourcing services, with a closer look at what they do, how they support data teams, and where their services may fit best.

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1. NeoWork

At NeoWork, we provide image annotation outsourcing services for companies that need structured visual data for computer vision and AI model training. We support clients that need help turning raw image sets into labeled datasets without pulling engineers or data scientists into manual review work. For many teams, annotation becomes the quiet bottleneck - the model cannot move forward until the images are labeled, checked, and cleaned up.

NeoWork works with dedicated data labeling teams that can handle image annotation tasks such as bounding boxes, semantic segmentation, polygon labeling, keypoint annotation, and quality checks. We focus on clear workflows, trained teammates, and project oversight, so each batch follows the same annotation rules. Our image annotation support can fit teams working on AI products, healthcare tools, retail image data, robotics, mapping, or other computer vision use cases. Two operating details that shape how we work are our 91% annualized teammate retention rate and our 3.2% candidate selectivity rate, which help us keep annotation teams stable and consistent over time.

Key Highlights:

• Image annotation teams
• Support for large visual datasets used in AI and machine learning
• Dedicated workflows for labeling, review, and quality control
• Flexible team setup for ongoing or volume-heavy annotation needs

Services:

• Image annotation outsourcing 
• Bounding box annotation
• Semantic segmentation
• Polygon annotation
• Instance segmentation
• Keypoint and landmark annotation
• Image classification
• Label validation and quality review

Contact Information:

• Website: www.neowork.com
• Facebook: www.facebook.com/neoworkteam
• LinkedIn: www.linkedin.com/company/neoworkteam
• Instagram: www.instagram.com/neoworkteam

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2. SunTec India

SunTec India provides image annotation services for computer vision teams that need labeled visual data in structured formats. The company works across 2D and 3D image annotation, using tools such as CVAT, V7, Labelbox, Supervisely, and other annotation platforms. SunTec India’s work is built around human review, clear labeling rules, and subject-specific validation.

SunTec India supports annotation tasks for areas such as autonomous vehicles, agriculture, retail, robotics, geospatial mapping, infrastructure, document processing, and environmental monitoring. Their process covers schema design, AI-assisted pre-labeling, human correction, quality checks, and delivery in formats used by machine learning teams. The company also handles image annotation together with other data types.

Key Highlights:

• Works with 2D and 3D image annotation
• Uses annotation tools such as CVAT, V7, Labelbox, Supervisely, and Label Studio
• Supports human-in-the-loop workflows with AI-assisted pre-labeling
• Provides quality checks through human review, agreement scoring, and validation rules

Services:

• Bounding box annotation
• Semantic segmentation
• Polygon annotation
• Keypoint and landmark annotation
• Instance segmentation
• Line and polyline annotation

Contact Information:

• Website: www.suntecindia.com
• E-mail: info@suntecindia.com
• Facebook: www.facebook.com/SuntecIndia
• Twitter: x.com/SuntecIndia
• LinkedIn: www.linkedin.com/company/suntecindia
• Instagram: www.instagram.com/suntec_india
• Address: Floor 3, Vardhman Times Plaza Plot 13, DDA Community Centre Road 44, Pitampura New Delhi - 110 034
• Phone: +91 11 4264 4425

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3. Damco Solutions

Damco Solutions offers image annotation services for companies building computer vision and AI models. The company focuses on preparing labeled image datasets that help models detect, identify, and understand objects within visual data. Damco Solutions positions its annotation work as an extension of a client’s internal team, with project-specific plans, annotation tools, and delivery models shaped around each dataset.

Damco Solutions works with several common annotation methods, including bounding boxes, cuboids, semantic segmentation, lines, splines, polygons, keypoints, and skeletal annotation. Their service coverage is tied to use cases such as visual search, vehicle perception, facial recognition, object detection, medical imaging, ecommerce, surveillance, and automobile-related datasets. The company also has offshore delivery support.

Key Highlights:

• Provides image annotation for computer vision and AI model training
• Works with both 2D bounding boxes and 3D cuboids
• Uses project-specific execution plans for image labeling work
• Can support scalable annotation needs through offshore teams

Services:

• 2D bounding box annotation
• 3D cuboid annotation
• Semantic segmentation
• Line and spline annotation
• Polygon annotation
• Keypoint annotation

Contact Information:

• Website: www.damcogroup.com
• E-mail: info@damcogroup.com
• Facebook: www.facebook.com/DamcoSolutions
• Twitter: x.com/damcosol
• LinkedIn: www.linkedin.com/company/damco-solutions
• Instagram: www.instagram.com/lifeatdamco
• Address: Office 1001, Level 10, Ibn Battuta Gate Offices, Jebel Ali Dubai, UAE
• Phone: +971 4 550 7833

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4. Label Your Data

Label Your Data is a data annotation company that provides image annotation outsourcing for machine learning teams, dataset businesses, AI product teams, and research groups. They work with image datasets used for object detection, classification, facial recognition, vehicle detection, product identification, and other computer vision tasks.

Label Your Data covers several image annotation types, from simple bounding boxes to more detailed segmentation methods. The company also works with related data formats such as video, 3D point clouds, aerial and satellite data, text, audio, and content moderation.

Key Highlights:

• Focuses on secure data annotation for AI and computer vision
• Offers a pilot step before the main labeling process
• Supports custom formats and cloud integration
• Works with image, video, 3D point cloud, aerial, satellite, text, and audio data
• Handles both simple and more detailed image labeling tasks

Services:

• Bounding box annotation
• Polygon annotation
• Cuboid annotation
• Keypoint annotation
• Semantic segmentation
• Instance segmentation

Contact Information:

• Website: labelyourdata.com
• E-mail: sales@labelyourdata.com
• Facebook: www.facebook.com/label-your-data
• Twitter: x.com/labelyourdata
• LinkedIn: www.linkedin.com/company/label-your-data
• Instagram: www.instagram.com/labelyourdata
• Address: 1007 North Orange Street, 4th Floor, Suite 122, Wilmington, DE 19801, USA
• Phone: +1 844 935 2538

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5. IntelligentBee

IntelligentBee works mainly in customer support, technical support, back-office services, and AI-related support operations. For image annotation outsourcing, IntelligentBee frames the service around the basic parts that usually decide whether the work runs smoothly: clear instructions, steady communication, quality checks, secure data handling, and the right annotation tools.

IntelligentBee also connects image annotation with broader data processing work. That can include labeling digital images, adding tags, drawing shapes around objects, and working with attributes such as size, shape, color, or orientation. Their approach fits companies that need a support team to handle visual data tasks while keeping the process simple, trackable, and easy to manage.

Key Highlights:

• Focuses on image annotation as part of wider back-office and data operations
• Covers quality checks, communication, timelines, security, and team training
• Supports outsourced annotation teams with structured project goals

Services:

• Image labeling
• Image tagging
• Object annotation
• Shape-based annotation
• Attribute annotation
• Data processing support

Contact Information:

• Website: intelligentbee.com
• E-mail: hello@intelligentbee.com
• Facebook: www.facebook.com/intelligentbee
• LinkedIn: www.linkedin.com/company/intelligent-bee-web-iasi
• Instagram: www.instagram.com/intelligent_bee
• Address: Grigore Ureche 14, et. 2, Iasi, 700044
• Phone: +40 332 408 668

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6. Toloka AI

Toloka AI provides image annotation through a crowd-based data labeling platform. They are built around the idea that large groups of human contributors can help label, compare, classify, and review data for machine learning systems. Toloka AI supports tasks such as object detection, image classification, text recognition in images, semantic segmentation, and side-by-side image comparison.

Toloka AI also gives teams tools for managing quality at scale. Tasks can be broken into smaller pieces, instructions can be added for contributors, and results can be checked through control tasks, aggregation, and other review methods. The platform also supports API and Python SDK integrations, which makes it more suitable for teams that want image annotation to connect with their existing data workflow rather than sit in a separate manual process.

Key Highlights:

• Uses a crowdsourcing model for image annotation and data labeling
• Supports image annotation for ecommerce, computer vision, and online content workflows
• Includes tools for quality control, result aggregation, and task setup
• Provides API and Python SDK options for integration

Services:

• Image classification
• Object detection annotation
• 2D bounding boxes
• 3D bounding boxes
• Polygonal image segmentation
• Semantic segmentation

Contact Information:

• Website: toloka.ai

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7. OURS GLOBAL

OURS GLOBAL offers image annotation services for AI and computer vision teams that need labeled visual data. They work with common annotation methods such as bounding boxes, semantic segmentation, polygon annotation, cuboids, keypoints, landmarks, and image classification. Their service page keeps the explanation fairly direct: images are labeled with tags, shapes, masks, or categories so models can learn to recognize objects and scenes more accurately.

OURS GLOBAL also places image annotation inside a wider outsourcing setup that includes IT, data entry, creative services, call center support, and other back-office work. They organize the process around requirement review, workflow setup, labeling, quality checks, and secure delivery in formats such as JSON, XML, YOLO, and COCO.

Key Highlights:

• Provides image annotation for AI and computer vision models
• Works with several annotation types, from object boxes to pixel-level masks
• Supports secure delivery in machine learning formats
• Uses a step-by-step workflow from requirement review to final delivery

Services:

• Bounding box annotation
• Semantic segmentation
• Polygon annotation
• 3D cuboid annotation
• Keypoint and landmark annotation
• Image classification

Contact Information:

• Website: www.oursglobal.com
• E-mail: info@oursglobal.com 
• Twitter: x.com/ours_global
• LinkedIn: www.linkedin.com/company/ours-global
• Address: 30 N. Gould St, Suite 6760 Sheridan, WY 82801 
• Phone: +1 512-717-7078

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8. Digital Divide Data

Digital Divide Data delivers image annotation services for computer vision, artificial intelligence, machine learning, and data operations teams. They work with labeled visual data for areas such as retail product recognition, industrial inspection, satellite imagery, autonomous driving, medical imaging, robotics, sports analytics, and geospatial intelligence.

Digital Divide Data uses trained human annotators together with AI-assisted tools, so the work is not treated as simple tagging only. Their image annotation process includes secure data ingestion, labeling, multi-layer quality checks, bias and edge-case review, and delivery in the required format.

Key Highlights:

• Uses taxonomy definition before annotation starts
• Includes bias and edge-case review as part of the workflow
• Combines human annotation with AI-assisted tools

Services:

• Bounding box annotation
• Polygon annotation
• Semantic segmentation
• Keypoint annotation
• Pixel-level image annotation
• Facial recognition annotation

Contact Information:

• Website: www.digitaldividedata.com
• E-mail: ddd@digitaldividedata.com
• LinkedIn: www.linkedin.com/company/digital-divide-data
• Address: 45 West 36th Street, 8th Floor New York, NY 10018
• Phone: +1.212.461.3700

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9. Velan

Velan provides outsourced data annotation and labeling services for companies training AI and machine learning models. Image annotation is one part of their wider data labeling work, alongside text, audio, video, and 3D LiDAR annotation. Velan uses image annotation to define objects inside images so models can recognize, classify, and understand visual content more clearly.

Velan’s image annotation work includes bounding boxes, polygon annotation, and semantic segmentation. The company also supports related visual data tasks such as video object tracking, event detection, LiDAR point cloud labeling, and object classification in 3D environments. Their process moves through consultation, tool selection, annotation, quality assurance, and delivery, which gives the work a fairly structured flow without making it too complicated.

Key Highlights:

• Provides image annotation as part of wider data annotation and labeling services
• Covers image, text, audio, video, and 3D LiDAR data
• Uses a defined process from consultation to final dataset delivery
• Supports healthcare, autonomous vehicles, ecommerce, finance, and agriculture

Services:

• Polygon annotation
• Bounding box annotation
• Semantic segmentation
• Video object tracking
• LiDAR point cloud labeling

Contact Information:

• Website: www.velaninfo.com
• E-mail: info@velaninfo.com
• Facebook: www.facebook.com/VelanInfo
• Twitter: x.com/velan_info
• LinkedIn: www.linkedin.com/company/velan-info-services
• Address: 8 The Green, Suite 300 Dover, DE 19901 USA
• Phone: +1 516 717 2049

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10. BUNCH

BUNCH offers image annotation outsourcing services for computer vision teams that need trained annotators assigned to visual datasets. Their model includes in-house labelers, project managers, QA analysts, team leads, trainers, and workforce support. The company works with small datasets, long-term labeling needs, and larger annotation pipelines where clients may need a few labelers or a much bigger managed team. 

BUNCH puts a lot of attention on edge cases and annotation guidelines. Before production starts, they run calibration tests on sample data, then refine annotation guidelines with class definitions, object libraries, positive and negative examples, and escalation rules. BUNCH also uses independent QA checks after annotation, with work scored through a scorecard. Output files can include JSON, GeoJSON, PNG masks, JPG, TIFF, CSV, COCO, and other formats depending on the dataset.

Key Highlights:

• Builds dedicated image annotation teams for computer vision datasets
• Uses calibration tests before full annotation work begins
• Creates detailed annotation guidelines for each dataset

Services:

• Image annotation
• Image labeling
• Object recognition annotation
• 2D and 3D bounding boxes
• Pixel segmentation
• Polygon annotation

Contact Information:

• Website: www.meetbunch.com
• E-mail: sales@meetbunch.com
• LinkedIn: www.linkedin.com/company/meetbunch
• Address: Capital House, Room 910, 9th Avenue, BGC, Taguig, Metro Manila, Philippines

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11. Flatworld Solutions

Flatworld Solutions provides image annotation services as part of its wider data services work. They support AI and machine learning teams that need labeled image datasets for computer vision, autonomous vehicles, healthcare, retail, geospatial technology, finance, government, agriculture, drone imagery, and security-related visual data. Flatworld Solutions covers both 2D and 3D annotation, with work shaped around the type of model being trained and the format the client needs for delivery.

Flatworld Solutions uses a process that starts with requirement analysis and data preparation before moving into tool setup, annotation, quality review, and final validation. Their image annotation work includes bounding boxes, semantic segmentation, polygon annotation, keypoint mapping, point cloud labeling, and medical scan annotation. They also work with tools such as CVAT, Labelbox, LabelImg, and Supervisely, which gives clients some flexibility when annotation needs to fit an existing pipeline.

Key Highlights:

• Provides image annotation as part of broader data management services
• Works with 2D images, 3D images, LiDAR, videos, and medical scans
• Uses tools such as CVAT, Labelbox, LabelImg, and Supervisely
• Follows a workflow from requirement analysis to final validation
• Can handle multi-format data used in AI training workflows

Services:

• Semantic segmentation
• Polygon annotation
• Bounding box annotation
• Keypoint mapping
• 2D image annotation
• 3D image annotation
• Video annotation

Contact Information:

• Website: www.flatworldsolutions.com
• E-mail: info2@flatworldsolutions.com
• Facebook: www.facebook.com/people/Flatworld-Solutions/100083043685200
• Twitter: x.com/flatworldsols
• LinkedIn: www.linkedin.com/company/flatworld-solutions
• Instagram: www.instagram.com/flatworldsolutions
• Address: 116 Village Blvd, Suite 200, Princeton, NJ 08540
• Phone: 800-514-7456

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12. DataForce

DataForce offers image annotation services for computer vision models that need labeled image data at the image level or object level. They support annotation tasks such as image classification, image captioning, bounding boxes, polygons, semantic segmentation, instance segmentation, and landmarks.

DataForce can work through its own annotation platform, a client’s platform, or third-party tools. That makes the service less rigid for teams that already have a preferred setup. The company also works with a global contributor community, while its security coverage includes SSAE 16 SOC 2, ISO 27001, HIPAA, and GDPR.

Key Highlights:

• Provides image-level and object-level annotation
• Supports direct integration with the DataForce platform, client tools, or third-party platforms
• Works with a global contributor community for scalable annotation needs
• Offers image annotation within a broader data annotation and AI training service set

Services:

• Image classification
• Image labeling
• Image captioning
• Bounding box annotation
• Polygon annotation
• Semantic segmentation

Contact Information:

• Website: www.dataforce.ai
• E-mail: berlin@transperfect.com
• Facebook: www.facebook.com/dataforcecommunitybytransperfect
• LinkedIn: www.linkedin.com/showcase/dataforceai
• Instagram: www.instagram.com/dataforceai
• Address: Stralauer Allee 2, 4th floor – Staircase B, 10245 Berlin GERMANY  
• Phone: +49 (0)30.166.365.95 

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13. Hitech BPO

Hitech BPO provides image annotation services for AI, machine learning, and computer vision model training. They work with image and video data that needs to be labeled, categorized, segmented, or marked for object detection. Hitech BPO uses manual, automated, and hybrid workflows, so the annotation setup can be adjusted depending on the dataset, required detail, and review process.

Hitech BPO covers several annotation methods, including bounding boxes, 3D cuboids, polygons, semantic segmentation, object detection, image classification, polyline annotation, and key point annotation. The company also handles industry-focused annotation for medical images, geospatial data, finance, self-driving vehicles, retail, agriculture, robotics, and security.

Key Highlights:

• Provides image annotation for AI and computer vision training datasets
• Uses manual, automated, and hybrid annotation workflows
• Works with both image and video labeling needs
• Covers both simple labeling and more detailed pixel-level annotation work

Services:

• Bounding box annotation
• 3D cuboid annotation
• Polygon annotation
• Semantic segmentation
• Object detection
• Image classification

Contact Information:

• Website: www.hitechbpo.com
• E-mail: info@hitechbpo.com 
• Facebook: www.facebook.com/hitechbpocompany
• Twitter: x.com/hitechbpo
• LinkedIn: www.linkedin.com/company/hi-tech-bpo
• Address: 2nd floor, Regis House, 45 King William Street, London, EC4R 9AN, United Kingdom

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14. Data Entry Outsourced

Data Entry Outsourced offers governed image annotation services for AI and machine learning teams working with large visual datasets. They focused on controlled production rather than loose labeling work, with documented guidelines, batch-level checks, inter-annotator agreement scoring, and validation before delivery. Data Entry Outsourced uses image annotation to turn raw images into structured datasets for computer vision models.

They cover several annotation types, including bounding boxes, segmentation, tagging, 3D cuboids, polygon annotation, metadata annotation, and keypoint labeling. Data Entry Outsourced also works with enterprise annotation platforms, automated validation scripts, AI-assisted pre-labeling tools, secure cloud environments, and quality monitoring dashboards.

Key Highlights:

• Provides governed image annotation for large-scale AI training datasets
• Uses documented workflows, taxonomy rules, and batch-level QA checkpoints
• Includes inter-annotator agreement scoring and structured validation
• Supports pilot execution and larger annotation deployments

Services:

• Semantic segmentation
• Instance segmentation
• Bounding box annotation
• Image labeling and tagging
• 3D cuboid annotation
• Attribute tagging

Contact Information:

• Website: www.dataentryoutsourced.com
• E-mail: info1@dataentryoutsourced.com
• Facebook: www.facebook.com/dataentryoutsourced
• Twitter: x.com/easydataentry
• LinkedIn: www.linkedin.com/company/data-entry-outsourced
• Address: 116 Village Blvd, Suite 220, Princeton, NJ 08540
• Phone: 866-405-2607

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15. Mindy Support

Mindy Support is a data annotation and customer service company that provides image annotation for computer vision and AI training. Their image annotation service covers the detailed manual work behind labeled visual datasets, including tagging, bounding boxes, polygons, landmarks, semantic segmentation, and image masking.

Mindy Support also offers related annotation services for text, 3D point data, audio, video, data collection, data curation, data anonymization, and AI training data. For image annotation, the company explains each method in simple terms, which makes the service easy to understand: pixels can be labeled, objects can be tagged, irregular shapes can be traced, and key points can be marked on faces or bodies.

Key Highlights:

• Provides image annotation as part of broader data annotation services
• Covers several visual labeling methods for computer vision datasets
• Offers related services for video, audio, text, 3D point data, and data anonymization

Services:

• Semantic segmentation
• Image tagging
• 3D bounding box annotation
• Polygon annotation
• Landmark annotation
• 2D bounding box annotation

Contact Information:

• Website: mindy-support.com
• E-mail: hello@mindy-support.com
• Twitter: x.com/mindysupport
• LinkedIn: www.linkedin.com/company/mindy-support
• Instagram: www.instagram.com/mindy_support
• Address: Gr. Xenopoulou 17, 3106 Limassol, Cyprus
• Phone: +35799911691

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16. NextWealth

NextWealth provides 2D and 3D image annotation services for AI, machine learning, and computer vision models. The company uses a human-in-the-loop approach, where automated tools may help speed up labeling, but human review is used for context and accuracy. NextWealth works with visual data that needs object detection, segmentation, lane marking, keypoint mapping, and other types of image-level or object-level annotation.

NextWealth supports image annotation for autonomous vehicles, retail, sports and fitness, augmented reality, mixed reality, healthcare, and security. Their service page keeps returning to one practical point: image annotation can be simple or very detailed, depending on whether a dataset needs one label for the full image or pixel-level separation of objects. NextWealth also works across computer vision, trust and safety, marketplace content services, and generative AI, so image annotation sits within a wider data operations setup.

Key Highlights:

• Provides 2D and 3D image annotation for AI and ML models
• Uses human-in-the-loop review for visual data labeling
• Supports object detection, segmentation, lane detection, and keypoint-based work

Services:

• 3D bounding box annotation
• Polygon annotation
• Lane annotation
• Keypoint annotation
• Semantic segmentation
• Medical image annotation

Contact Information:

• Website: www.nextwealth.com
• E-mail: shreya.bhattacharjee@nextwealth.com
• LinkedIn: www.linkedin.com/company/nextwealth
• Address: GoSpaze, Building No 1314, 1st Floor, Eshwara Layout, Indiranagar, Bengaluru – 560038, Karnataka, India. 
• Phone: +91 89618 66125 

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Conclusion

Image annotation outsourcing companies are not all built the same way. Some focus on managed annotation teams, some use crowd-based platforms, and others work more like data operations partners with structured QA, security controls, and long-term workforce support. The right choice depends less on a polished service page and more on the kind of image data a company needs to prepare.

For simple image tagging, a flexible platform or lower-touch provider may be enough. For computer vision models that depend on pixel-level accuracy, medical images, autonomous systems, geospatial data, or large retail catalogs, the details matter more. Annotation guidelines, edge-case handling, reviewer training, delivery formats, and quality checks can make a real difference once the data reaches the model.

A good outsourcing partner should make the work easier to manage, not create another layer of confusion. Before choosing a company, it helps to look at the annotation methods they support, how they review work, whether they can use the needed tools, and how clearly they handle data security. Image annotation is repetitive work, but it is not low-value work. Clean labels are often what turn a promising model into something that can actually be tested, improved, and used.