Data Annotation and Labelling Services

Build high performing AI and ML models with accurately annotated training data at scale.

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Data Annotation and Labelling

ML and AI models are data hungry and require massive amounts of labeled data with deep learning value for optimal performance. HitechDigital offers comprehensive data annotation and labeling solutions to transform your voluminous and unstructured raw content into meaningful training datasets at scale.

Our 300+ data annotators and production-grade annotation platforms manage soaring data tagging volumes and complex data with high variance. We use a fine blend of algorithmic annotations, automated workflows, and human intelligence to help deep learning teams automate their data preparation processes.

Our AI audit system, keeping humans in the loop, has features like built-in validation, spot-checking, multi-level quality controls, and regular performance evaluations to ensure the highest quality of data annotation. The enhanced data quality empowers your algorithms to learn faster and more effectively, excelling in applications such as computer vision, sentiment analysis, entity linking, text categorization, and syntactic parsing.

100mn+

Data Points

300+

Data Annotators

100+

Data Types Annotated

99.5 %

Accuracy

Create high quality training datasets to power your AI and ML models

Annotate With Us Today →

Our Data Annotation Services.

Unlock the power of precise, tailored and scalable data annotation services to drive the success of your AI and ML algorithms.

Image Annotation

  • 2D/3D bounding box annotation
  • Object recognition/detection
  • Polygon annotation
  • 3D cuboid annotation
  • Semantic segmentation
  • Image Classification
  • Line and Polyline Annotation
Learn more »

Text Annotation

  • Text Classification & Categorization
  • Entity Recognition (Entity Linking, Entity Classification, Entity Annotation)
  • Semantic Annotation
  • Linguistic Annotation
  • Phrase Chunking
Learn more »

Video Annotation

  • Bounding Boxes
  • Polygon Annotation
  • Keypoint Annotation
  • Landmark Annotation
  • 3D Cuboid Annotation
  • Polyline Annotation
Learn more »

Success Stories.

More than 95% of our clients are recurring, a testament to the unwavering trust and satisfaction our services consistently deliver.

HitechDigital’s annotation and labeling solutions worked wonders for us. They not only provided high-quality text annotations, but also saved us time and resources.

Operations Head, Construction Technology Company, Germany

Thank you, HitechDigital, for providing best-in-class image annotation services, including multiple stages of audit and review of labeled data.

Vice President, Operations, Californian Technology Company

HitechDigital annotated human poses accurately making it much easier for our machines to easily detect human activity and interactions in various situations.

Director Operations, Data Analytics Company, USA

Our Customers.

Data Annotation Techniques.

Power your AI models with cutting edge annotation strategies

Bounding Box

Bounding Box

Draw a rectangle or square around the object:

  • Mark objects like boxes of food or road signs
  • Identify objects and contextual positions
  • Simplify the object detection process
  • Improve object detection models

Polygonal Segmentation

Polygonal Segmentation

Draw polygons to define object shape and location:

  • Map object edges precisely in images
  • Outline organs, lesions, in radiology
  • Track aerial images for crops, land etc.
  • Engineer objects and shapes for robotics

Polyline Annotation

Polylines

Plot continuous lines for linear features.

  • Trace linear objects in images/videos.
  • Mark roads, rail tracks, and pipelines.
  • Map roads, rivers, and boundaries.
  • Outline irregular shapes like tumors.

Landmark Annotation

Landmarking

Marking points of interest for localization of elements.

  • Mark key features for facial recognition.
  • Mark joints for body pose estimation.
  • Label features to identify species.
  • Mark objects and pointers for routing.

Object Tracking

Tracking

Monitor objects in image sequences and video frames.

  • Monitor people, vehicles, for security
  • Track the movements of athletes
  • Track vehicles, objects, for navigation
  • Track objects for robots to move and work

3D Point Cloud Annotation

3D Point Cloud Annotation

Create 3D models with data from LiDAR, stereo cameras.

  • Detect and classify for exact dimensions.
  • Label vehicles, people, signs, and lanes.
  • Navigate spaces for robots to perform.
  • Map terrains, forestry, and resources.

Application of data annotation.

Cross-Industry Utilization of Data Annotation Techniques

Healthcare

Used in pathology and neurology to identify patterns for making quick and accurate diagnoses. It helps train AI systems in differentiating data obtained from normal and injured medical images to generate the final reports of the examined individuals.

Retail and E-commerce

Used for product categorization it improves search relevance and user experience. Annotators are shown product titles, descriptions, and images and are asked to tag them from a list of departments the e-commerce store has provided.

Automotive

The increasing adoption of image data annotation tools in the automotive sector is driving the growth of the data annotation tools market. It is used in the development of self-driving cars.

Agriculture

Used to detect issues such as plant diseases or pests’ presence accurately, it helps farmers to improve crop quality while reducing losses due to issues that affect yield.

Finance

Used to detect fraud and assess risk, analyze investments, personalize customer service and adhere to regulatory compliance, fast-track decision-making, and optimize operations.

GIS Mapping

Data annotation in GIS analytics and mapping is used to improve city planning, analyze project risks, and optimize infrastructure planning and management.

How we annotate data.

Meticulous annotation workflows to ensure precision and consistency in every data point.

Data Annotation and Labelling Process Click to view in PDF →

Data Annotation FAQs.

What types of data do you annotate?

We annotate text, image, audio, video, and LIDAR Point cloud data depending on your specific project requirements.

How do you ensure the quality of annotated data?

Our rigorous quality control mechanism to ensure the quality of annotated data includes a blend of human expertise and automated tools. In-built validation, spot checks and multi-level quality controls are some of these. Our teams also adhere to industry best practices of developing clear annotation guidelines and establishing continuous feedback loops.

How do you handle large volumes of data?

We have a team of 300 qualified annotation specialists to handle massive volumes of data. The team can be ramped up at short notice to meet spikes in volume, corresponding to business needs. Our teams also use production-grade annotation platforms, automated workflows and cutting-edge tools to accelerate our annotation processes. A human in the loop approach ensures that we are not bogged down by the limitations of automation.

How do you reduce bias in data annotation?

We put in place several steps to avoid biases in data annotation. Documenting clear annotation guidelines, communicating the guidelines to the team, discussions and consensus on ambiguous cases, using multiple annotators for each data point and ongoing training programs are important steps. Ensuring diversity in the team also reduces cultural and personal biases. We use third-party tools like Labelbox or Saggezza’s Expert Workbench to detect and mitigate biases in labeling datasets. Finally, our audit and quality check mechanisms also weed out annotation biases.

What is the training methodology you use for your data annotators?

Our training process is focused on ensuring precision and expertise. There is an initial orientation program for all annotators coming on board which gives them a bird’s eye view of data annotation, its impact on AI models, industry application and the need for accuracy in annotating. The next level of domain-specific training makes the annotators thoroughly acquainted with detailed annotation guidelines.

Hands-on practice sessions and iterative feedback help to refine skills, while quality control exercises reinforce consistency and accuracy. Given that datasets are continually evolving, the teams are trained to adapt to the changes. Advanced tool training is also imparted when called for.

What is your experience in data labelling?

Our experience in data labelling services spanning over a decade encompasses a wide range of industries including automotive, healthcare, e-commerce, entertainment, and more across geographies. Our teams of expert data annotators are equipped to handle a variety of data types, including text, images, audio, and video.

Can you provide a pilot project?

Yes, we do offer free pilot projects to help you gain confidence in our services and to help you evaluate our team’s capabilities and assess the overall impact of our services on your processes. During the trial, our team will work closely with you to understand your requirements and give you a complete download of our end-to-end processes.

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