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Labeling Services
Delivering Precision Labels That Power Reliable AI Outcomes
Anotag transforms raw data into high-quality, labeled datasets ensuring every annotation drives model accuracy, consistency, and scalability across industries.
Transforming Raw Data into Precisely Labeled Intelligence for
Smarter AI.
ABOUT US
At Anotag, our Labeling Services provide the foundation your AI models need to understand the world with accuracy. We combine human expertise, automation, and domain specific workflows to label text, images, audio, video, and sensor data at scale. Every label is crafted to meet your model’s learning requirements enhancing recognition, comprehension, and decision making.
Whether it’s training computer vision models, processing language data, or structuring multimodal inputs, Anotag ensures your data is labeled with clarity, consistency, and quality that accelerates real world AI performance.
Things We Do
We deliver comprehensive, domain-driven labeling across every major data modality. Enabling your AI models to see, hear, read, and understand the world with precision.
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Image Labeling
Bounding boxes, polygons, landmarks, and segmentation to identify objects, scenes, defects, or medical features essential for computer vision, diagnostics, retail analytics, and quality inspection.
Video Labeling
Frame-by-frame tracking, behavior
recognition, motion segmentation, and scene understanding for autonomous systems, surveillance AI, sports analytics, and robotics.
Audio Labeling
Transcription, speaker identification, sentiment & emotion tagging, and acoustic event labeling to power voice assistants, call analytics, and speech recognition engines.
Text Labeling
Entity extraction, intent tagging, sentiment classification, partof speech annotation,
and document structuring for NLP models, search engines, chatbots, and legal or financial AI.
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DICOM & NIfTI Medical Labeling
Organ segmentation, region of interest labeling, tumor annotation, pathology identification, and slice by slice markup for radiology AI in MRI, CT, Xray, and ultrasound datasets.
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3D LiDAR & Sensor Labeling
Point cloud segmentation, 3D bounding
boxes, object tracking, depth mapping, and sensor fusion alignment vital for autonomous vehicles, robotics, and spatial AI.
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Geospatial Labeling
Satellite & drone image segmentation, land use classification, boundary mapping, environmental feature extraction, and GIS labeling for agriculture, climate analytics, and urban planning.
Multimodal Labeling
Cross-modal alignment between image - text, video - audio, LiDAR - camera, and sensor fusion streams enabling VLMs, robotics intelligence, and generative multimodal AI.
Custom Labeling Pipelines
Tailor-made workflows built around your taxonomy, compliance needs, and ML architecture ensuring efficiency, accuracy, and scalability across any dataset or industry.
Our Process
A Streamlined Workflow Built for Accuracy, Consistency, and Speed.
01
ORDER AND PREPARATION
We unite with your team to define labeling goals, taxonomy, & annotation standards tailored to your dataset and AI model.
02
GLOBAL NETWORK ACTIVATION
Our experts select or build labeling tools and automation scripts optimized for your project scale and complexity.
03
Expert Labeling Execution
Trained domain annotators apply precise labeling logic, supported by AI-assisted pre-labeling for faster throughput.
04
Multi-Layer Quality Review
Every label undergoes human and automated QA to ensure consistency, accuracy, and completeness.
05
Client Feedback Integration
Feedback loops align annotations with model performance and evolving project objectives.
06
Secure Delivery & Integration
Labeled data is encrypted, validated, and delivered in your preferred format ready for immediate use in your AI pipeline.
04
Multi-Layer Quality Review
Every label undergoes human and automated QA to ensure consistency, accuracy, and completeness.
Why Choose Anotag
Expert-Led Labeling, AI-Driven Efficiency, End-to-End Reliability.
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Domain Expertise
Annotators trained across diverse sectors from healthcare to autonomous tech.
AI-Augmented Efficiency
Automated pre-labeling accelerates turnaround times without compromising quality.
Scalable Teams
Flexible capacity to handle projects of any size or complexity.
End-to-End Ownership
From data intake to final delivery, we manage every phase of labeling.
Enterprise-Grade Security
ISO 27001–compliant systems, encrypted data channels, and NDAs at every stage.
Flexible Delivery Formats
JSON, CSV, COCO, Pascal VOC, TFRecord, or custom schema delivered your way. give me taglines for this.
How We Ensure Quality
Ensuring Precision Through Human Expertise and Smart Automation.
Human in the Loop QA
Every dataset undergoes multiple review layers combining AI and expert validation.
Iterative Refinement
Continuous improvement cycles enhance label precision and reduce variance.
Gold Standard Checks
Benchmark testing ensures accuracy across datasets and labeling teams.
Transparent Reporting
Real-time dashboards track progress, error rates, and accuracy scores.
Security, Integration & Delivery
At Anotag, data privacy and compliance are integral to our labeling workflows.
Encrypted Transfers
AES-256 encryption for all data uploads and downloads.
Access Control
Role-based permissions restrict data handling to authorized personnel.
Compliance Ready
GDPR, HIPAA, and ISO-aligned ops across all labeling projects.
Seamless Integration
Deliverables integrate directly into your ML pipeline or data lake.
Ready to Label Smarter?
Let’s Turn Your Data into Intelligent,
Actionable Insights.
Book a quick demo to see how Anotag delivers precise, scalable, and secure labeling services that bring accuracy and clarity to every AI model.