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 client’s requirements, we use a combination of automated platforms and annotation experts to deliver high-quality data quickly.
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.
Make the most out of your text data, from improving search performance to labeling data for multiple business functions.Know more
We identify and label images to provide accurate product highlights and information across a range of industry requirements.Know more
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.Know more
Maximize the value of your text data with our human annotation solutions at scale.Know more
Achieve newer heights of intelligent automation with super-precise, quality image and video annotations delivered at speed.Know more
Get razor-sharp annotated sound and speech data all while maintaining strict data confidentiality.Know more
We render accurate and high-quality training data quickly, efficiently, and at scale.
Large trained teams of seasoned annotators
Custom solutions depending on the use case
Our qualified annotators use in-house or external platforms to quickly process thousands of data rows to offer you speed in the real world
We have integrated validation, spot checks, and a workers seniority system into our QA system
We identify key values from users’ search queries. The tagged data is further ingested into the ML algorithms for better answer accuracy.
We validate queries based on relevance and tag the reason for the action taken based on client-specified guidelines.
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 offer fast and accurate image segmentation to support specific use cases like detecting instances, characteristics, classifications, product attributes, and more.
We moderate image reviews by validating their relevance and permissibility and tagging the reason for the action taken.
We collect user voice queries and label them based on entities and intent with an accuracy of 97%.
Gain an expert’s advantage in categorizing unstructured text by linking it to specified groups to serve multiple purposes – from product categorization, spam detection, and chat routing, to document classifications across industries.
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 investment bulletins, or most mentioned drugs in clinical records for a specific condition.
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.
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.
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.
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 beverage bottles.
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.
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.
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 detects objects across varied scenarios delivering volumes of quality training data at speed.
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.
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.