Home   /   Data-Annotation

Data Annotation

Data Annotation

A data-driven enterprise possesses deep expertise in organizing, labeling, and enriching raw information to unlock its true potential. With the support of advanced data annotation techniques, you can classify, tag, and structure diverse datasets—ranging from text and images to audio and video—for use in building powerful AI and machine learning solutions. Accurate labeling and context-aware annotation are just two of the many specialized services that TCPL delivers to industries seeking reliable, intelligent automation.

We have expertise collaborating with both domestic and international enterprises that rely on high-quality annotated datasets. To enhance accuracy and efficiency, our team can operate onsite or remotely. We have experience working with a wide range of data annotation tools and platforms, and have consistently delivered projects on time and within budget.

Tecnoglance Consulting Pvt. Ltd. Data Annotation Services Include:

  • 3D Point Cloud Annotation for ADAS
  • Text Annotation
  • Multilingual Language Labeling
  • Key point Annotation
  • Geo Annotation
  • Line/Pollygon
  • 2D Building Boxes
  • Image and 2D Video annotation
  • LiDAR Sequence Annotation

3D & Sensor-Based Annotation

Tecnoglance Consulting empowers autonomous driving systems through advanced 3D point cloud annotation services.

We transform raw LiDAR sensor data into structured annotations that enable ADAS (Advanced Driver Assistance Systems) and autonomous vehicles to detect, classify, and respond to their surroundings with precision. Our expertise ensures safety, accuracy, and scalability in complex driving environments.

Our 3D Point Cloud Annotation Services include:
  • Object Detection & Classification – labeling vehicles, pedestrians, and obstacles in LiDAR point clouds
  • 3D Cuboid Annotation – defining object dimensions and positions for accurate modeling
  • Semantic Segmentation – differentiating roads, lanes, curbs, and traffic elements
  • Sequence Annotation – tracking moving objects across frames for dynamic environments
  • Lane & Traffic Sign Annotation – enhancing ADAS navigation and decision-making

Tecnoglance Consulting supports clients in preparing LiDAR sequence datasets for autonomous driving and advanced perception systems.

We specialize in annotating sequential LiDAR frames to capture dynamic environments with precision. Our team ensures compliance with industry standards and project requirements, delivering annotations that enhance ADAS (Advanced Driver Assistance Systems) and autonomous vehicle models. From moving object tracking to static environment mapping, we provide reliable, scalable solutions tailored to client needs. The following LiDAR sequence annotation services are offered by Tecnoglance:

  • Identification and classification of static & dynamic objects across frames
  • Integration of road, lane, and environmental features into sequential datasets
  • Generation of location-based sequence maps and layouts
  • Preparation of annotated LiDAR sequences for training and validation
  • Documentation and delivery as per autonomous driving project standards

Tecnoglance Consulting provides precise key point annotationfor computer vision and machine learning applications.

We deliver annotation packages that define critical points on objects, humans, and environments to improve model accuracy and performance. Our services ensure that datasets are enriched with detailed positional information, enabling advanced recognition, tracking, and predictive analytics. The following services are provided under Key Point Annotation:

  • Identification and labeling of facial landmarks (eyes, nose, mouth, etc.)
  • Capture and representation of skeletal points for human pose estimation
  • Annotation of key points on vehicles, machinery, and industrial assets
  • Preparation of datasets for gesture recognition and activity tracking
  • Mapping of structural points in medical, agricultural, and geospatial imagery
  • Documentation and delivery aligned with AI/ML project standards

Tecnoglance Consulting team offers detailed pole-level analytics on data received from the customer’s field staff.

It also covers reporting of high-risk field assets, pole replacement design, and make-ready design. Structural, stress, and clearance testing are all included. Under the category of pole loading analysis and make-ready engineering, Tecnoglance Consulting provides the following services.:

  • Structural analysis
  • Stress analysis
  • Clearance analysis
  • Reporting of high-risk field assets
  • Pole replacement design
  • Make-ready design

Image & Video Annotation

Tecnoglance Consulting provides accurate 2D bounding box annotationto support computer vision and AI model development.

We deliver structured datasets where objects are precisely enclosed within bounding boxes, enabling reliable detection, classification, and tracking. Our services ensure that training data for autonomous systems, retail analytics, medical imaging, and other AI applications meet industry standards for accuracy and consistency. The following 2D bounding box annotation services are offered by Tecnoglance:

  • Object detection and localization across diverse image datasets
  • Annotation of vehicles, pedestrians, and obstacles for ADAS and surveillance systems
  • Bounding box creation for products in e-commerce and retail analytics
  • Medical image annotation for diagnostic AI solutions
  • Quality assurance and validation of annotated datasets
  • Documentation and delivery aligned with client-specific project requirements

Tecnoglance Consulting provides precise line and polygon annotationto support advanced computer vision and geospatial applications.

We specialize in creating detailed annotations that define boundaries, shapes, and linear features within images and videos. Our services enable AI models to understand complex structures, road networks, agricultural fields, and industrial layouts with accuracy and consistency. By delivering high-quality polygon and line-based datasets, we help clients achieve reliable training outcomes for diverse use cases.

  • Boundary delineation of objects, land parcels, and agricultural zones
  • Road, lane, and corridor mapping for ADAS and navigation systems
  • Polygon annotation for irregular shapes in medical, industrial, and retail datasets
  • Line annotation for utilities, pipelines, and structural layouts
  • Accurate segmentation of environmental features such as rivers, forests, and hydro assets
  • Documentation and delivery aligned with AI/ML project standards

Tecnoglance Consulting provides comprehensive image and 2D video annotationto power computer vision and AI-driven applications.

We deliver high-quality annotations that enable machines to recognize, classify, and track objects across static images and dynamic video frames. Our expertise ensures that datasets are enriched with precise labels, bounding boxes, and segmentation details, supporting industries such as autonomous driving, retail, healthcare, and security.

  • Object detection and classification in images and video sequences
  • Frame-by-frame annotation for moving objects in dynamic environments
  • Semantic segmentation for detailed understanding of scenes and contexts
  • Bounding box and polygon annotation for irregular shapes and complex structures
  • Activity recognition and gesture tracking in video datasets
  • Quality assurance and delivery aligned with AI/ML project requirements

Tecnoglance Consulting provides specialized geo annotation servicesto support geospatial intelligence and location-based AI applications.

We deliver precise annotations that connect geographic features with spatial datasets, enabling advanced analysis for industries such as transportation, urban planning, agriculture, and autonomous navigation. Our expertise ensures that maps, satellite imagery, and geospatial data are enriched with accurate labels and boundaries, helping clients achieve reliable insights and decision-making.

Our Geo Annotation Services include:
  • Annotation of geographic features such as roads, rivers, forests, and land parcels
  • Integration of spatial data for navigation and route optimization systems
  • Polygon and line annotation for mapping utilities, pipelines, and infrastructure layouts
  • Labeling of agricultural zones, hydro assets, and environmental features
  • Preparation of geo-tagged datasets for AI/ML training and validation
  • Documentation and delivery aligned with geospatial and industry standards

Text & Language Annotation

Tecnoglance Consulting provides comprehensive text annotation servicesto support natural language processing (NLP) and AI applications.

We deliver structured datasets where raw text is enriched with labels, categories, and metadata to enable machines to understand context, sentiment, and meaning. Our expertise ensures that training data for chatbots, search engines, healthcare systems, and multilingual applications meets industry standards for accuracy and consistency.

  • Sentiment analysis and opinion labeling for customer feedback and social media data
  • Named entity recognition (NER) for identifying people, organizations, and locations in text
  • Intent and category classification for conversational AI and chatbots
  • Multilingual text annotation to support global language models
  • Document-level annotation for legal, medical, and technical datasets
  • Quality assurance and delivery aligned with NLP project requirements

Tecnoglance Consulting provides multilingual language labeling servicesto support global natural language processing (NLP) and AI applications.

We specialize in annotating text across multiple languages, ensuring that datasets are enriched with accurate labels, categories, and linguistic context. Our expertise helps organizations build AI models that understand diverse languages, dialects, and cultural nuances, enabling seamless communication and intelligent automation worldwide.

Our Multilingual Language Labeling Services include:
  • Text classification and sentiment analysis across multiple languages
  • Named entity recognition (NER) for people, places, and organizations in multilingual datasets
  • Intent detection and labeling for conversational AI and chatbots
  • Language-specific tokenization and part-of-speech tagging
  • Annotation of domain-specific content (legal, medical, technical) in regional languages
  • Quality assurance and delivery aligned with international NLP standards