Providing machines with relevant and precise training datasets is the key to their success and sustainability. We provide technology-driven and human-assisted data labelling and data annotation services to help you get the best results from your AI, ML, and deep learning models.
Netscribes’ data labelling and data annotation services support a broad range of machine learning use cases specific to our client’s business needs. Our services include text labelling, audio labelling, 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 labelling 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 labelling 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 labelling data for multiple business functions.
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We identify and label images to provide accurate product highlights and information across a range of industry requirements.
Know moreThrough 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 moreMaximize the value of your text data with our human annotation solutions at scale.
Know moreAchieve newer heights of intelligent automation with super-precise, quality image and video annotations delivered at speed.
Know moreGet razor-sharp annotated sound and speech data all while maintaining strict data confidentiality.
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We offer expert data labelling and annotation services that help automotive companies harness the power of machine learning to develop cutting-edge ADAS and autonomous driving technologies. Our skilled annotators and advanced tools can efficiently label and annotate large datasets from a wide range of sensors, including RADARS, LiDARS, and cameras, enabling the development of precise and adaptive models that can navigate complex real-world environments founded on robust and reliable training data.
Read moreOur annotators expertly and accurately identify and label the position and dimensions of objects in images or videos, enabling autonomous vehicles to detect and respond to obstacles on the road.
Using this type we annotate the position and movement of body parts in images or videos, enabling advanced driver assistance systems to better track and analyze driver behavior for improved safety and performance.
We can precisely annotate the outlines and shapes of objects within visual data, allowing autonomous vehicles to detect and maneuver around barriers and roadways more diligently.
Through this annotation type we can help you delineate the boundaries of parking spaces in images or videos. AVs can use this to locate and navigate toward available parking spots.
Our seasoned annotators use semantic segmentation to create and review intricate datasets by separating various elements in complex images into distinct segments using specialized colors and attributes.
To create a highly accurate and comprehensive model of the environment around a vehicle, we have expertise in working with varied input data formats such as LiDAR, RADAR, Multi-sensor, Image, Video.
Our annotators label and segment various elements in product images, such as SKU, color, texture, and style, to enable precise object detection and recognition, improving search relevance and recommendation accuracy.
We help develop high-quality training data for natural language processing (NLP) models, including sentiment analysis, chatbots, and recommendation engines.
Our versatile annotators and labelers support businesses by ensuring user-generated content meets brand guidelines, community standards, and legal requirements to ensure a safe and positive user experience.
Our expert data annotators can assist with content categorization, accurately classifying and organizing large volumes of products, SKUs, and other digital assets, which helps improve search relevance and customer experience.
Our expert annotators use Optical Character Recognition (OCR) and Natural Language Processing (NLP) to accurately extract and categorize information enabling players to train chatbots for improved customer service.
Our professional annotators help automatically extract relevant information from unstructured data sources such as forms, invoices, and receipts.
We ensure accurate and reliable data for finance, banking, and insurance applications, such as KYC and fraud detection.
Our team of annotators transcribe audio and video content of customer interactions, meetings, and interviews for improved accessibility and analysis.
We use human intelligence to annotate customer feedback and comments to classify them according to their sentiment to help analyze customer feedback and improve their offerings.
Our experienced annotators employ this labelling type for precise identification and localization of objects, such as buildings, roads, and water bodies, in geospatial data for applications like urban planning, infrastructure development, and disaster management.
We can precisely annotate the outlines and shapes of objects within visual data, allowing autonomous vehicles to detect and maneuver around barriers and roadways more diligently.
To delineate irregularly shaped objects, such as fields, forests, and rivers, in geospatial data, our data annotation experts use this type to power applications like land cover classification, habitat mapping, and natural resource management.
Our team helps expertly identify and annotate geographic features, such as rivers, mountains, and cities, in satellite imagery to enable automated geospatial analysis for applications like land use classification, crop monitoring, and road conditions for infrastructure management.
To create a highly accurate and comprehensive model of the environment, we have expertise in working with varied input data formats such as LiDAR, RADAR, Image, Video.
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.
A leading global engineering and technology company specializing in mobility solutions needed video and image annotation support for its recently established technology division to develop autonomous vehicles. They sought assistance in labelling objects by assigning codes for the autonomous driving application development.
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