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Providing machines with relevant and precise training datasets is the key to their success and sustainability. We provide technology-driven and human-assisted data labeling and annotation services to help you get the best results from your AI, ML, and deep learning models.

Netscribes’ data labeling and annotation services support a broad range of machine learning use cases specific to our client’s business needs. Our services include text labeling, audio labeling, image annotation, and video annotation. Depending on our clients’ requirements, we use a combination of automated platforms and annotation experts to deliver high-quality data quickly.

What is data labeling?

Data labeling is the process of attaching meaning to different types of data in order to train machine learning and AI models. As companies across industries leverage AI, machine learning, and automation to deliver better performance, they need data labeling services to train their models to understand the world as humans see it.

Accurately-labeled data allows machine learning models to understand user intent and sentiment in textual data, recognize objects in images and video, and interpret audio with minimal human involvement.

Choose Netscribes for

Text labeling

Make the most out of your text data, from improving search performance to labeling data for multiple business functions.

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Image labeling

We identify and label images to provide accurate product highlights and information across a slew of industry requirements be it retail-tech, automotive, fintech, med-tech, agri-tech, and more.

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Audio labeling

Through automated speech recognition, we validate the system’s speech-to-text (S2T) output via audio transcription and make corrective changes to enhance model accuracy.

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Text annotation

Maximize the value of your text data with our human annotation solutions at scale.

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Image and video annotation

Achieve newer heights of intelligent automation with super-precise, quality image and video annotations delivered at speed.

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Audio annotation

Get razor sharp annotated sound and speech data all while maintaining strict data confidentiality.

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Netscribes data labeling and annotation solutions help businesses gain the precision needed to powere robust AI and ML models.

We render accurate and high-quality training data quickly, efficiently, and at scale.

Expertise

Expertise

Large trained teams of seasoned annotators

Bespoke solutions

Bespoke solutions

Custom solutions depending on use case

Technology and speed

Technology and speed

Our qualified annotators use in-house or external platforms to quickly process thousands of data rows to offer you speed in the real world

Quality driven

Quality-driven

We have integrated validation, spot checks, and a workers seniority system into our QA system

Leverage the combined power of human and technology to fast-track innovation, accelerate time to market, and increase ROI on your AI investments.

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Make the most out of your text data, from improving search performance to labeling data for multiple business functions.
Key-value retrieval

Key-value retrieval:

We identify key values from users’ search queries. The tagged data is further ingested into the ML algorithms for better answer accuracy.

Question moderation

Question moderation:

We validate queries based on relevance and tag the reason for the action taken based on client-specified guidelines.

Sentiment analysis

Sentiment analysis:

We analyze and label the sentiment in user reviews and adding relevant sentiment tags not just for the whole review but for each word or phrase within it.

We identify and label images to provide accurate product highlights and information across a slew of industry requirements be it retail-tech, automotive, fintech, med-tech, agri-tech, and more.
Tagging attributes

Tagging attributes:

We offer fast and accurate image segmentation to support specific use cases like detecting instances, characteristics, classifications, product attributes, and more.

Image moderation

Image moderation:

We moderate image reviews by validating their relevance and permissibility and tagging the reason for the action taken.

Through automated speech recognition, we validate the system’s speech-to-text (S2T) output via audio transcription and make corrective changes to enhance model accuracy.
Natural language processing

Natural language processing:

We collect user voice queries and label them based on entities and intent with an accuracy of 97%.

Maximize the value of your text data with our human annotation solutions at scale.
Text classification

Text classification:

Gain an expert’s advantage in categorizing unstructured text by linking it to specified groups to serve multiple purposes – from product categorization, spam detection, chat routing, to document classifications across industries.

Entity annotation

Entity annotation (NER):

Drive deeper analysis through a complete view of predefined entities mentioned in streams of raw text – be it technologies and companies mentioned in trend reports, insights from M&A investments bulletins, or most mentioned drugs in clinical records for a specific condition.

Sentiment annotation

Sentiment annotation:

Get a granular view of how customers perceive your brand and offerings, and understand the sentiment attached to each phrase in a user review, news report, or on social media. Our advanced sentiment and topic analysis help businesses make strategic decisions by understanding what’s currently trending, how preferences are evolving, and determining the most-pressing customer needs that demand attention.

Intent annotation

Intent annotation:

Our expert text annotators evaluate the need or desire behind a text, classifying it into several categories to help power NLU-specific training data for digital assistants and chatbots across industries.

Achieve newer heights of intelligent automation with super-precise, quality image and video annotations delivered at speed.
Keypoint

Keypoint/ landmark annotation:

We outline objects, shapes, and facial expressions capturing fine nuances like human reactions and movements. This helps understand how customers react to your ads, ensure trainees are in the right exercise positions and more.

Image segmentation

Image segmentation:

Our qualified annotators use polygons among other tools to outline the most accurate edges of the target image, whether it’s product items in your catalog or detecting distinct illness signs in medical imaging, or identifying inaccurate liquid levels in an image of beverages bottles.

Field extraction

Field extraction:

Turn time-consuming processes into seamless and efficiently automated outputs with relevant and robust training data. Our annotation experts tag relevant fields across thousands of images empowering your algorithms to extract the right data from bills, tax receipts, medical prescriptions, and more.

Semantic segmentation

Semantic segmentation:

Get an object classification based segmentation annotated across the video’s complete timeframe to train your ML models to identify objects precisely by the pixel.

Bounding boxes 2D

Bounding boxes (2D):

From automobiles to real estate, agritech, and more, the versatility of bounding boxes allows them to be deployed on a gamut of computer vision applications. Our league of seasoned annotators detect objects across varied scenarios delivering volumes of quality training data at speed.

Bounding boxes 3D

Bounding boxes (3D):

To train computer vision and machine learning models our professional annotators accurately detect an object’s depth, potential collision and hurdle dimensions for autonomous driving and warehousing among other applications.

Get razor-sharp annotated sound and speech data all while maintaining strict data confidentiality.
Audio transcription

Audio transcription:

Whether it’s transcribing lengthy calls on financial discussions or legal proceedings or customer interactions, we help accurately convert speech to text offering easy access to textual versions of a discussion and enabling due training and feedback to customer support agents.

Success stories

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