Build high performing AI and ML models with accurately annotated training data at scale.
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, including text annotation, image annotation, and video annotation.
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 →
Unlock the power of precise, tailored and scalable data annotation services to drive the success of your AI and ML algorithms.
More than 95% of our clients are recurring, a testament to the unwavering trust and satisfaction our services consistently deliver.
Operations Head, Construction Technology Company, Germany
Vice President, Operations, Californian Technology Company
Director Operations, Data Analytics Company, USA
Power your AI models with cutting edge annotation strategies
Draw a rectangle or square around the object:
Draw polygons to define object shape and location:
Plot continuous lines for linear features.
Marking points of interest for localization of elements.
Monitor objects in image sequences and video frames.
Create 3D models with data from LiDAR, stereo cameras.
Cross-Industry Utilization of Data Annotation Techniques
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.
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.
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.
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.
Used to detect fraud and assess risk, analyze investments, personalize customer service and adhere to regulatory compliance, fast-track decision-making, and optimize operations.
Data annotation in GIS analytics and mapping is used to improve city planning, analyze project risks, and optimize infrastructure planning and management.
Meticulous annotation workflows to ensure precision and consistency in every data point.
Click to view in PDF →
We annotate text, image, audio, video, and LIDAR Point cloud data depending on your specific project requirements.
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.
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.
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.
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.
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.
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.