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2M+

Video Frames Annotated

98.5%

Accuracy

50+

Global Clients

65%

Faster Delivery

100%

Data Security

Achievments

Video Annotation

Turning Motion into Meaning for Smarter AI Models

Anotag delivers accurate, frame by frame video annotation that helps AI models understand movement, context, and behavior powering real-world intelligence at scale.

ABOUT

At Anotag, we help AI systems see and understand the world in motion.

Our Video Annotation Services combine human precision with AI-driven automation to label moving objects, actions, and interactions across industries from autonomous vehicles and robotics to retail analytics and security systems.
 

We transform raw video data into structured, time synchronized annotations that train your AI models to detect patterns, recognize activities, and make real-time decisions with confidence.
 

Whether you need object tracking, event detection, or action recognition, Anotag ensures every frame contributes to model performance, consistency, and insight.

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Things We Do

We provide a wide range of video annotation types to support complex computer vision and motion analysis tasks.

01

Frame-by-Frame Object Tracking

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Annotate objects across video frames to help models detect and follow motion ideal for surveillance, traffic analysis, and robotics.

02

Action & Activity Recognition

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Label sequences of human or object movement to train models for gesture recognition, sports analysis, and behavioral AI.

03

Event Detection & Temporal Segmentation

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Mark start and end times for specific activities, actions, or transitions to improve event-driven model accuracy.

04

Object Classification & Tagging

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Identify and categorize multiple object types within each frame to enhance contextual understanding.

05

Polyline & Lane Annotation

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Track lanes, boundaries, or paths over time for autonomous driving and drone navigation systems.

06

Keypoint Tracking

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Capture detailed motion of facial landmarks or body joints for animation, movement analysis, or healthcare applications.

07

Custom Annotation Workflows

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Custom-built annotation pipelines tailored to your model’s taxonomy, frame rate, and video complexity.

Industries We Serve

Our video annotation services empower AI applications across diverse industries

01

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Technology & AI Startups

Training data for action recognition, object tracking, VLMs, and early-stage CV prototypes.

02

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Healthcare & Life Sciences

Video-based diagnostic analysis, surgical tool tracking, activity monitoring, and motion-based clinical AI.

03

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Manufacturing & Robotics

Assembly line monitoring, defect detection, robot path tracking, and automation system training.

04

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Transportation & Logistics

Route intelligence, package tracking, fleet monitoring, and movement analysis for real-time logistics AI.

05

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Media & Entertainment

Content moderation, scene classification, facial tracking, and emotion detection for video platforms.

06

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Retail & E-Commerce

Store analytics, footfall tracking, product interaction analysis,

and in-store video intelligence.

07

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Agriculture & AgriTech

Drone video crop monitoring, livestock tracking, field analysis, and growth cycle assessment.

08

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Automotive

ADAS perception, driver monitoring, pedestrian tracking, and 360° autonomous driving video systems.

09

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Education

Video datasets for academic research, CV training, behavioral studies, and educational AI models.

10

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Fintech

KYC video verification, behavioral analysis, document-in-motion recognition, and fraud detection.

11

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security & Surveillance

Threat detection, intrusion tracking, behavior recognition, and real-time object monitoring.

12

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Sports & Games

Player tracking, ball trajectory analysis, event segmentation, pose estimation, and tactical breakdowns.

13

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Legal

Evidence video annotation, courtroom video processing, subject tracking, and chain-of-custody preparation.

The Anotag Advantage

Precision, scalability, and trust — powering every frame of your AI data journey.

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Domain-Trained Teams

Specialists in video, motion, and behavioral annotation.

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AI-Augmented Speed

Pre-labeling tools accelerate annotation for faster turnaround.

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Scalable Solutions

Handle short clips or massive enterprise video datasets effortlessly.

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End-to-End Ownership

From data intake to secure delivery, we manage every step.

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Secure Infrastructure

ISO 27001-compliant, NDA-protected, and fully encrypted environments.

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Custom Delivery Formats

Integration ready data for your ML models and analytics platforms.

How We Ensure Quality

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Frame-Level Precision

Each video is annotated and verified across multiple review cycles.

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Temporal Consistency Checks

Ensure smooth, continuous labeling across frames.

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Inter-Annotator Agreement

Multiple annotators validate consistency on complex sequences.

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Automated + Manual QA

Smart validation tools complement expert reviews for accuracy above 98%.

Security, Integration & Delivery

At Anotag, data privacy and compliance are integral to our labeling workflows.

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Encrypted Channels

AES-256 encryption for all transfers and storage.

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Controlled Access

Role-based permissions to safeguard sensitive data.

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Compliance-Driven

GDPR, HIPAA, and ISO-aligned security standards.

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Seamless Integration

datasets plug directly into your ML pipeline or video analysis workflow.

Ready to Bring Motion Intelligence to Your AI?

Let’s Help Your AI See in Motion

Book a quick demo to see how Anotag’s video annotation services transform frames into insight ,

building reliable, real-world-ready AI.

OUR PROCESS

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01

Requirement Analysis & Schema Design

We collaborate to define annotation goals, event categories, and labeling schemas aligned with your model’s use case

02

Data Preparation & Platform Setup

Your video data is securely uploaded, preprocessed, and configured within specialized annotation tools.

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03

Annotation Execution

Skilled annotators label and track objects, actions, and events frame by frame using AI-assisted automation.

04

Quality Control & Review

Multi-layer human and automated QA ensures temporal accuracy, consistency, and completeness.

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05

Feedback & Refinement

Iterative client feedback loops help fine-tune labeling logic and optimize model alignment.

06

Secure Delivery & Integration

Final annotated videos are encrypted and delivered in your desired format JSON, XML, COCO, or custom schema ready for ML training pipelines.

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