Data Annotation and Labeling Services

Data Annotation and Labeling Services

Thousands of food waste images annotated at speed, trained machine learning models and fast-tracked analysis for a Swiss food waste assessment solution provider.

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Hitech Hitech

Service Overview.

ML and AI models are data hungry and require a massive amount of labeled data with deep learning value for optimal performance. Turning unstructured, raw content and data into cohesive and meaningful datasets at scale requires high-quality data annotation that couples human intelligence and machine learning models.

Hitech’s fully managed data annotation services train your AI and machine learning models to interpret input sequences accurately and clearly. Our scalable workforce and use of smart tools and technologies like YOLO, SSD and RetinaNet frees up high-value data science resources at technology companies allowing them to focus on high value activities. Qualitative text, image, audio, video, and LIDAR Point cloud data annotation solutions make texts more meaningful and informative. They help you train your AI and ML algorithms for computer vision, sentiment analysis, entity linking, text categorization, and syntactic parsing.

Our 300+ data annotators and production-grade annotation platforms manage soaring 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.

100mn+

Data Points

300+

Data Annotators

100+

Data Types Annotated

99.5%

Accuracy

Create high-quality training datasets to feed your AI and ML models!

Annotate with us today →

Text Annotation and Labeling.

Our multilingual text annotators analyze the content, discern the subject, intent and sentiment within it and classify it based on a predetermined list of categories to annotate it with metadata labeling for text mining, information retrieval, or NLP models with competitive precision and recall.

Our service offerings:

  • Classify and analyze a body of text, keywords, phrases, and the meaning behind them, i.e., labelling emotions, intent, opinion, or sentiment within a body of text.
  • Extract and tag entities such as names, phrases, nouns, verbs, and adverbs.
  • Extract information from social media accounts, customer service, customer feedback and several other sources.
  • Entity extractions and entity identification from unstructured text to annotate pre-defined entities such as people, places, organizations, facilities, location and events.
  • Group two or more annotated entities that refer to the same named entity.
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Client
Hitech’s annotation and labeling solutions worked wonders for us. They not only provided high-quality text annotations, but also saved us time and resources. Quote

– Operations Head, AI Development Service Provider, USA

Text classification

Image annotation.

We power your computer vision models with pixel perfect labelled images, providing annotations to allow machines to segment images and classify objects in different categories.

Our service offerings:

  • Use rectangular box annotation to illustrate objects and train data, enabling algorithms to identify and localize objects during the ML processes.
  • Outline objects using rectangular box for in depth recognition – be it humans, cards or other objects on the streets.
  • Use 2D and 3D bounding box annotation tools depending on quantity and quality of data.
  • Capture objects in 3D cuboid to get a more in-depth dimension view and build a comprehensive model for detailed info.
  • Drawing precisely with contours in polygon shapes over the products to detect objects and localize videos or images.
  • Allow for lane detection on roads for autonomous cars and other vehicles to move in the right direction.
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Client
Thanks, Hitech, for best-in-class image annotation services moving through multiple stages of audit and review of labeled data. Quote

– Vice President – Operations, Data Science Services, UK

Semantic Segmentation.

Label each pixel of an image with semantic segmentation for fine grained understanding of images for computers and machines to easily recognize the object through the dimension and outlined boxes feeding the data for future reference while recognizing similar objects.

Our service offerings:

  • Semantic Segmentation: Annotating images by partitioning them into multiple segments for autonomous vehicles, healthcare and various other industries.
  • Landmark Annotation: Plotting a sequence of points correctly to determine the shape of natural objects like facial features, emotions and expressions.
  • Lidar Annotation: Use of high-precision labeling tools to visualize, label, and track objects in 360-degree visibility across frames, captured by multi-sensor cameras and 3D point clouds for all types of LiDARs.
  • 3D Sensor Fusion Annotation: Fuse inputs from multiple sensors like radars, lidars and cameras to create a virtual model of the environment around the object for that complete representation of the real world.
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Client
Your high-accuracy image segmentation played a crucial role in enhancing the overall performance of our AI-based perception models. Quote

– CEO, AI-powered Web Development Solutions Provider, USA

Image Semantic Segmentation

Video Annotation.

Split videos into individual images to precisely track and capture temporal and spatial features of target objects, predict body part or joint positions of a human, and annotate each image separately to improve your machine learning model’s performance.

Our service offerings:

  • Identify objects like pedestrians, streetlights, signboards, traffic lanes, signals, cyclists, or vehicles moving on the road.
  • Classify individual objects, frames, selected scenes or entire clips.
  • Build a scenario database by recording custom classes, multiple attributes per instance.
  • Create trajectories of different participants like cars, cyclists or pedestrians.
  • Add parameters, like weather and other factors that influence the driving algorithm, to environmental conditions.
  • Label human poses making easier for machines to easily detect human activity and interactions in various situations.
  • Accurately annotate the facial expressions of humans and how they pose while performing various actions.
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Client
Hitech annotated human poses accurately making it much easier for our machines to easily detect human activity and interactions in various situations. Quote

– Director Operations, AI Consulting and Development Services, Germany

Satisfied Customers.

80% recurring clients and partnerships with industry leaders reflect our commitment to customers – their growth, their satisfaction.

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3,100+ Satisfied Clients
50+ Countries Served
5,000+ Projects Completed
1,000+ Professionals

Service Leadership.

Bachal Bhambhani
Bachal Bhambhani
Bachal represents Hitech in North America, and helps client and home teams collaborate effectively on projects and partnership initiatives.
Brett Pranham
Brett Parnham
Brett, Vice President for Europe, is based in London. He assists Hitech’s executive leadership team in reinforcing partnerships and in building long-term relationships with clients across the continent.

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