Image Annotation Services · Computer Vision · India
Image Annotation Services
For computer vision and AI teams · 99.5% accuracy · 24-hour turnaround · from Rs.2 per image
Expert-labeled bounding boxes, segmentation masks, polygons, keypoints, and 3D point clouds, delivered worldwide in COCO JSON, YOLO, Pascal VOC, or any custom format. Built by domain-trained annotators and verified through a multi-pass QC pipeline. DataTerminal is India's trusted image annotation company for global AI teams.
Annotation Platforms We Work In
Image annotation services turn raw images into precisely labeled training data that computer vision models can learn from. DataTerminal is India's leading image annotation company, providing end-to-end image annotation services for AI teams worldwide: from a single-class bounding box project to multi-million-image segmentation pipelines. Every label is produced by trained human annotators, verified through a multi-pass QC process, and delivered in the exact format your model expects.
Our teams work across autonomous driving, medical imaging, agriculture, retail, satellite, and security use cases, holding 99.5% accuracy at a fraction of US and European labeling costs. Whether you need a fast pilot or a dedicated annotation team scaled to 50,000-plus images per day, the workflow below is built to keep quality high and turnaround under 24 hours.
AI teams that choose to outsource image annotation to India benefit from domain-trained specialists, not generalists. DataTerminal annotators are assigned by vertical, so the team annotating your autonomous driving dataset is not the same team working on medical imaging the next day. That specialisation is what drives consistently higher inter-annotator agreement and fewer edge-case errors across every project we deliver.
What We Annotate
Image Annotation Services: Every Type We Deliver
Bounding box, segmentation, polygon, keypoint, 3D point cloud, and OCR — each expert-annotated at 99.5% accuracy and delivered in your format.
Bounding BoxRs.2/image
Semantic SegmentationRs.8/image
Instance SegmentationRs.10/image
Polygon AnnotationRs.5/image
Keypoint / LandmarkRs.4/image
Polyline & LaneRs.4/image
3D Point Cloud / LiDARRs.15/object
OCR & Text-in-ImageRs.3/image
Image ClassificationRs.1/image
Bounding BoxRs.2/image
Semantic SegmentationRs.8/image
Instance SegmentationRs.10/image
Polygon AnnotationRs.5/image
Keypoint / LandmarkRs.4/image
Polyline & LaneRs.4/image
3D Point Cloud / LiDARRs.15/object
OCR & Text-in-ImageRs.3/image
Image ClassificationRs.1/image
Bounding BoxFrom Rs.2/image
Tight and loose rectangular boxes for object detection. Most common annotation type for YOLO, Faster R-CNN, and SSD models.
Object DetectionSemantic SegmentationFrom Rs.8/image
Pixel-level class labeling for scene understanding. Every pixel gets a class label, ideal for self-driving and satellite imagery.
Scene UnderstandingInstance SegmentationFrom Rs.10/image
Each object instance labeled as a separate per-pixel mask. Enables counting, tracking, and part-level analysis.
Object TrackingPolygon AnnotationFrom Rs.5/image
Precise polygonal outlines for irregular shapes. More accurate than bounding boxes for vehicles, furniture, and complex objects.
Precision ShapesKeypoint / LandmarkFrom Rs.4/image
Dot-based skeletal annotation for pose estimation, facial landmarks, and body-joint detection models.
Pose EstimationPolyline & LaneFrom Rs.4/image
Line and polyline annotation for lane markings, road boundaries, and structures in ADAS datasets.
Lane DetectionImage ClassificationFrom Rs.1/image
Whole-image class labels for recognition models. The fastest annotation type with 99.5% inter-annotator agreement.
Image Recognition3D Point Cloud / LiDARFrom Rs.15/object
Cuboid and segmentation labeling of LiDAR and 3D sensor data for autonomous driving and robotics perception.
3D PerceptionOCR & Text-in-ImageFrom Rs.3/image
Text detection and transcription within images, receipts, and documents for OCR and document-AI pipelines.
Text ExtractionQuality Methodology
Image Annotation Quality: How We Hit 99.5% Accuracy
99.5%
Average Accuracy Score
Accuracy is not a promise, it is a measured output. Every batch is scored against a gold-standard set before it ships, so the number you see is the number you get.
Step 01
Primary Annotation
Expert annotators assigned by vertical, whether AV, medical, retail, or satellite. Domain knowledge applied from image one.
Step 02
Peer Review
A second annotator reviews every label. Any box or mask below the accuracy threshold is flagged immediately for re-annotation.
Step 03
Gold Standard Validation
A 5% random sample is tested against pre-labeled gold images. The batch fails if any label drifts from baseline.
Step 04
Automated Accuracy Check
A script validates every completed batch. No annotation ships below the minimum threshold, ever.
99.5%
IoU / Pixel Accuracy
99.1%
Inter-Annotator Agreement
Zero
Missed Objects Post-QC
AI + Human
AI-Assisted Image Annotation, Human-Verified at Every Step
Manual-only labeling is slow. Fully automatic labeling is inaccurate. We combine model-assisted pre-labeling with human verification, so you get the speed of automation and the accuracy of expert annotators, on the same dataset.
Foundation models like SAM handle the first pass. Trained annotators correct, resolve edge cases, and sign off every label. Hard cases are routed back through an active-learning loop, so accuracy climbs as the project scales, instead of drifting.
3-5x
Faster Than Manual
100%
Human-Verified Labels
Step 01
Model-Assisted Pre-Labeling
We pre-label with foundation models like SAM and your own trained models, so annotators refine instead of starting from a blank frame.
Step 02
Human Verification
Every AI-suggested label is checked and corrected by a trained annotator. Nothing ships on model confidence alone.
Step 03
Active Learning Loop
Low-confidence and hard cases are routed back for priority review, so the dataset improves round over round.
Step 04
Agreement Scoring
Inter-annotator agreement and IoU are tracked per batch to catch drift before it ever reaches your dataset.
Our Process
From Image Upload to Annotated Dataset in 24 Hours
01
Upload
Share images via secure portal, Google Drive, S3, or FTP. JPG, PNG, TIFF, DICOM, BMP, any format accepted. NDA signed first.
02
Annotate
Expert annotators work in CVAT, Labelbox, or your preferred tool, with model-assisted pre-labeling and domain specialists per vertical.
03
QC Review
Every image passes 3-layer quality control. Any label below threshold is re-annotated before delivery.
04
Deliver
Receive in COCO JSON, YOLO, Pascal VOC, or any custom format, with a full accuracy report included.
Industries Served
Image Annotation Services by Industry Vertical
Dedicated annotation teams per industry, trained on domain edge cases, not generalists.
Segmentation + Tracking
Autonomous Vehicles
Pedestrian, vehicle, sign, and lane detection. Pixel-perfect segmentation plus tracking IDs at 50K+ frames per day.
Precision Annotation
Medical Imaging
Tumour localisation, cell detection, and surgical-instrument tracking. Precision-critical annotation by trained specialists.
Aerial Imagery
Agriculture
Crop-disease detection, pest identification, and yield estimation from aerial imagery. Polygon and oriented-box specialists.
Multi-class
Retail & E-commerce
Product detection, shelf monitoring, and cashierless checkout. Multi-class annotation at catalogue scale.
Geospatial
Satellite Imagery
Land-use classification, building detection, and road extraction from high-resolution geospatial data.
Real-time Detection
Security & Surveillance
Person, vehicle, and object detection. Instance segmentation for crowd analytics and intrusion detection.
Why DataTerminal
India's Top Image Annotation Company for AI Teams
What separates leading image annotation companies from the rest: measured accuracy, vertical specialists, and a delivery model that does not stall your model release cycle.
99.5% Measured Accuracy
Every batch is scored against a gold-standard set before it ships. You receive an accuracy report, not a verbal promise. Image annotation companies that cannot show you a per-batch score are guessing.
Vertical-Specialist Annotators
AV, medical, retail, satellite, and agriculture annotators trained exclusively per domain. When you outsource image annotation to an image labeling company, domain knowledge is the difference between a usable dataset and re-labeling from scratch.
50K+ Images Per Day
Parallel annotation teams scale to your throughput in 48 hours. Volume spikes do not stall delivery. The best image annotation companies plan for your busiest sprint, not your average week.
60-70% Below US Rates
India-based image annotation at a fraction of US and European costs. DataTerminal ranks consistently among the most cost-effective image annotation companies India has to offer, without the accuracy trade-off.
Pipeline-Native Output
COCO JSON, YOLO, Pascal VOC, CVAT, TFRecord, and custom schemas. Your annotated data lands directly in your training pipeline with zero reformatting or conversion overhead.
NDA on Every Project
Your images are handled in controlled, access-restricted environments. GDPR-aligned workflows, encrypted transfer, and permanent deletion on project close. Security is the baseline, not an add-on for this image annotation company.
Proof
Image Annotation Case Studies: Proven Results at Scale
A snapshot of image annotation projects we have scaled to production. Client names withheld under NDA.
ADAS perception dataset scaled to production
A European autonomous-driving team needed 2D bounding boxes plus semantic segmentation across millions of street-scene frames, with tight lane and pedestrian accuracy. We ran a calibration batch, locked the guidelines, then scaled a dedicated team.
2.4M
Frames labeled
99.6%
Mean IoU
50K/day
Peak throughput
Radiology segmentation for a diagnostic model
A clinical AI startup required pixel-precise organ and lesion segmentation on CT and MRI slices under strict data-handling rules. Domain-trained annotators worked inside a HIPAA-aware, access-controlled environment.
180K
Slices annotated
99.4%
Annotator agreement
HIPAA-aware
Workflow
Shelf-intelligence dataset at scale
A retail analytics platform replaced a slow in-house labeling process. We handled product detection and classification across store-shelf images with a fully managed team, cutting cost without losing accuracy.
1.2M
Shelf images
62%
Lower cost vs in-house
18 days
Pilot to scale
Security and Compliance
Image Data Security and Compliance at Every Stage
Data security is the first question serious AI teams ask any image annotation company. Here is how we answer it, before any image changes hands.
NDA by default
Every engagement is covered by a mutual NDA before a single image is shared, signed on your paper or ours.
Encrypted transfer and storage
Images and labels move over encrypted channels and sit on access-controlled infrastructure, never on personal devices.
Role-based access
Only assigned, vetted annotators touch your data. Access is logged and revoked the moment a project closes.
GDPR-aligned handling
Data-processing workflows follow GDPR principles, with data-residency options available on request.
HIPAA-aware medical pipelines
For healthcare data we run isolated, access-restricted pipelines with de-identification support built in.
Deletion on completion
Source data and working copies are permanently deleted at project close. On-premise and private-cloud (VPC) delivery available.
Formats and Tools
Output Formats and Annotation Tools: Your Pipeline, Natively
Export Formats
COCO JSONYOLO TXTPascal VOC XMLCVAT XMLTFRecordCSVCustom
Annotation Tools
CVATLabelboxRoboflowSuperAnnotateV7 DarwinSegments.aiVGG (VIA)Custom API
If your pipeline requires a specific schema or tool integration, we build the connector at no extra cost.
Free Sample Offer
Free 50-Image Sample: Try Before You Commit
Send us 50 images. We will annotate them free in 24 hours, your annotation type, your format, with an accuracy report. No payment. No commitment.
50 images annotatedAny annotation typeYour output formatAccuracy report included24h delivery
FAQ
Image Annotation Services: Frequently Asked Questions
Image annotation services turn raw images into precisely labeled training data for computer vision models. Providers label objects, regions, and attributes using techniques like bounding boxes, semantic segmentation, polygon annotation, and keypoint labeling. DataTerminal delivers image annotation services at 99.5% accuracy for AI teams worldwide, covering object detection, segmentation, pose estimation, and classification.
DataTerminal offers 2D bounding boxes (tight and loose), semantic segmentation, instance segmentation, panoptic segmentation, polygon annotation, keypoint and landmark annotation, polyline and lane annotation, 3D point cloud and LiDAR annotation, OCR and text-in-image labeling, and image classification. All annotation types are available with 99.5% accuracy and 24-hour turnaround.
Image annotation pricing ranges from Rs.2 to Rs.15 (roughly $0.03 to $0.20) per image depending on complexity. Simple bounding boxes start at Rs.2 to Rs.3 per image, polygon annotation is Rs.5 to Rs.10, and semantic segmentation is Rs.8 to Rs.15. DataTerminal offers volume discounts of 10 to 30% on projects above 1,000 images, and a free 50-image pilot so you can validate quality before you commit.
Semantic segmentation labels every pixel with a class, so all cars share one color. Instance segmentation identifies each individual object separately, so car 1, car 2, and car 3 are distinct. Instance segmentation is used for counting and tracking; semantic segmentation is used for scene understanding. Panoptic segmentation combines both. DataTerminal handles all three at scale.
Standard turnaround at DataTerminal is 24 to 48 hours for batches up to 10,000 images. Rush same-day delivery is available. For 100,000-plus image projects, parallel annotation teams deliver 50,000-plus images per day without dropping accuracy.
We deliver in COCO JSON, Pascal VOC XML, YOLO TXT, CVAT XML, TFRecord, CSV, and any custom schema your pipeline needs. Format conversion is included at no extra cost.
DataTerminal works in CVAT, Labelbox, Roboflow, SuperAnnotate, V7 Darwin, VGG Image Annotator, and custom in-house pipelines. We can annotate inside your existing platform or provide a fully managed environment, whichever keeps your review loop tighter.
Yes. DataTerminal serves AI teams across the US, Europe, the Middle East, and Asia, delivering remotely with time-zone-aligned communication. Our annotation studios are based in India, which lets us offer domain-trained annotators at 60 to 70% lower cost than US or European providers while holding 99.5% accuracy.
Outsourcing image annotation to India gives AI teams access to domain-trained annotators at 60 to 70% lower cost than US or European providers, without sacrificing quality. India has a large pool of technically skilled annotators familiar with computer vision pipelines, and leading image annotation companies in India like DataTerminal have built structured QC systems that hold 99.5% accuracy at any volume. Time-zone coverage also means your annotation batches progress around the clock.
DataTerminal combines three things most image annotation companies cannot: domain-specialist annotators trained per vertical (AV, medical, retail, satellite), a multi-pass QC pipeline that delivers a per-batch accuracy report, and a delivery model that scales to 50,000-plus images per day without stalling. India-based operations keep costs 60 to 70% below US rates. Every project includes an NDA, encrypted transfer, and permanent data deletion on close.
You do. All source images, labels, guidelines, and derived datasets are your property. We claim no rights over your data or the annotations we produce, and nothing is reused for any other client or purpose.
Every engagement starts with a mutual NDA. Data is transferred over encrypted channels and stored on access-controlled infrastructure, and only assigned, vetted annotators can view it. We follow GDPR-aligned handling, offer data-residency and on-premise options, and permanently delete source data on project completion unless you ask us to retain it.
Yes. We run a calibration batch to lock guidelines, then scale a dedicated team to your throughput. Projects routinely reach 50,000-plus images per day, and we keep trained annotators in reserve so volume spikes do not stall your model release.
Yes. We annotate directly in your platform when you have one, integrate with your storage (S3, GCS, Azure Blob), and build the export connector for your training pipeline at no extra cost. If you have no tooling, we provide a fully managed environment.
Guideline changes are expected on real projects. We version every guideline, re-run a small calibration batch on the new rules, and re-annotate affected images so your dataset stays internally consistent. Change requests do not reset your timeline or your accuracy.
Explore More
Other Annotation Services & Resources
Every annotation type your AI pipeline needs — video, audio, text, LiDAR, documents, and RLHF — from the same team that handles image annotation.
Start Your Project
Start Your Image Annotation Project Today
Free 50-image sample on your first project. Response in under 2 hours. Transparent pricing with no hidden costs.
Phone+91-9014387222
Emailcontact@dataterminal.co
WhatsAppReply in under 2 hours
LocationHITEC City, Hyderabad, India
