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Our annotation services ensure high precision, scalability,
and compliance for various AI applications.

HI1

HI2

Bounding Box Annotation

Draws rectangular boxes around objects in an image. Used to help AI recognize and locate objects like cars, people, or animals.

Polygon Annotation

Outlines the exact shape of irregular or complex objects using multiple points. More accurate than boxes for fine-grained object detection.

Image Annotation

Bounding boxes, polygon segmentation, keypoint annotation, and semantic segmentation for object recognition and detection.

Bounding Box Annotation

Draws rectangles around objects.

Polygon Annotation

Outlines object shapes precisely.

Skeletal Annotation

Maps body joints and structures.

Semantic Segmentation

Labels every pixel by class.

Bounding Box Annotation

Draws rectangular boxes around objects in an image. Used to help AI recognize and locate objects like cars, people, or animals.

Polygon Annotation

Outlines the exact shape of irregular or complex objects using multiple points. More accurate than boxes for fine-grained object detection.

Skeletal Annotation

Map human poses or facial landmarks by tagging key joints ideal for gesture tracking, fitness, or medical AI.

Semantic Segmentation

Label each pixel in an image to separate foreground from background and understand object boundaries with detail.

Video Annotation

Frame-by-frame object tracking, event detection, and action recognition for AI-powered automation

Object Tracking

Follows objects across frames.

Instance Segmentation

Segments each object instance.

Keypoint Annotation

Marks key points on objects.

Semantic Segmentation

Classifies pixels by category.

Object Tracking

Follows an object through multiple video frames. Helps AI recognize how the object moves and behaves over time.

Instance Segmentation

Identifies and separates each object individually, even if they belong to the same class (like two dogs).

Keypoint Annotation

Detects and labels body joints or points over time. Useful for tracking gestures, movements, or biomechanics in video.

Semantic Segmentation (Video)

Applies pixel-level labeling to every frame of a video. Helps AI interpret complex scenes as they change over time.

Text Annotation

Named entity recognition (NER), sentiment analysis, document classification, and text categorization for NLP applications.

Named Entity Recognition

Tags names, places, and more.

Text Classification

Categorizes text content.

Sentiment Analysis

Detects emotions in text.

Linguistic Annotation

Adds grammar and syntax tags.

Named Entity Recognition (NER)

Tags important keywords in text like names, locations, or organizations. Makes it easy for AI to extract meaningful information

Text Classification

Assigns a topic, intent, or sentiment to an entire piece of text. Used for organizing or filtering written content.

Sentiment Analysis

Detects emotional tone behind the text—positive, negative, or neutral. Often used in marketing or customer support.

Linguistic Annotation

Detects emotional tone behind the text—positive, negative, or neutral. Often used in marketing or customer support.

Tools We Use

Ensuring precise AI model training

Empowering your AI pipeline with the best-in-class tools and infrastructure.

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India Office

India —
785 15h Street, Office 478 Berlin, De 81566

info@email.com

India Office

India —
785 15h Street, Office 478 Berlin, De 81566

info@email.com

Uk Office

United Kingdom —
785 15h Street, Office 478 Berlin, De 81566

info@email.com

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