Data Annotation Services Company
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Xonique
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Highly-Qualified Data Annotations Services by Experts
Our Data Annotation Services
Image Annotation
Make annotations of all sizes and types of images with accurate tools for capturing images, making them easily recognizable by computers or machines.
Video Annotation
Tag clips or labels to instruct machines or computers to use AI algorithms to recognize or identify objects.
Text Annotation
Develop and improve AI training data sets by taking, creating, annotating, and testing large amounts of multilingual data.
Audio Annotation
Access multi-labeled and well-researched segmented, granular, and well-segmented audio files to ensure AI successful results.
Product Categorization
Enhance the precision of your products by intelligently classifying items into one or more tags or categories.
Medical Data Annotation
Get medically labeled and annotated information to train AI and ML algorithms to achieve more efficient and quicker results and operations.
Want to know what else we have to offer?
Data Annotation Industry Use Cases
Robotics
3D detectors for objects, enabled by data annotation and labeling, are extensively used in robotics to prevent collisions with dynamic objects like animals, humans, and many other animals.
AI in Retail
An appropriate image annotation process and data labeling could play an important role in AI implementation to automate while aiding retailers in improving customers’ shopping experience.
Self-Driving
Computer vision algorithms noting bounding boxes for everything near a vehicle permit the vehicle to identify pedestrians and vehicles, traffic signs, and other barriers.
Autonomous Flying
AI implementations that allow automated or assisted flight could be made simpler and more accessible through image annotation in the backend using autonomous flight training data.
Health Care
Incorporating annotations and appropriate labels into AI is important in identifying connections between genetic codes that power surgical robots and enhancing healthcare processes and efficiency.
Agriculture
IoT sensors, as well as bounding box annotations, offer real-time data to AI algorithms that can help improve agriculture’s efficiency and yields using real-time data in their respective fields.
Data Annotation Tools We Use
Polygon Annotation
Polygon annotation aids AI models in detecting rough and irregularly shaped objects in video and images. Our polygon annotation can accurately detect streets with asymmetry for autonomous vehicles, driverless vehicles, drones, and satellite images.
Sentiment Analysis
Companies employ sentiment analysis to understand customers’ opinions and categorize them as positive or negative.
Polyline Annotation
Polyline image annotation can help autonomous vehicles equipped with artificial intelligence models to identify lanes and divergences, directions, and opposing directions to ensure secure and safe driving.
Natural Language Processing (NLP)
With our skilled data annotators’ precisely labeled training data annotation, NLP makes sense of the raw images and text to aid computer vision and machine learning models in understanding human language.
Semantic Segmentation
Semantic segmentation takes detection of objects to a new level by noting the entire image pixel-by-pixel. By using annotated semantics, AI and machine learning can categorize, find the objects, segment them, and recognize many objects in an image belonging to a particular class with higher precision.
Audio Transcription
Speech recognition is used extensively in intelligent assistants, translation services, and others. With 95% accuracy, Xonique can convert your sound files into text to get the most effective result for AI and ML models.
Talk to Our Data Annotations Experts Today!
We can quickly analyze hundreds of thousands of data records to ensure that your models have the information required to function in the real world. We draw on the wisdom of our employees, their skills, and the cultural expertise of our global community of contributors to provide the most accurate data.
Get Started with Data Annotation
You’ve finally found the right Data Annotation Company
Expert Workforce
Our pool of experts who are proficient in data annotation can procure accurately annotated datasets.
Gain Most of AI
Data labeling generates high-quality & ready-to-use datasets which enable AI/ ML Models to generate deeper insights.
Scalability
Being one of the best data annotation companies, our domain experts can handle high volumes while maintaining quality & can scale operations as your business grows.
Growth and Innovation
Our team helps you prepare data for training AI engines, saving valuable time & resources. With outsourcing, your team can focus on the development of robust algorithms leaving the tedious part of the job, to us.
Cross-Industry Capabilities
The team analyzes data from multiple sources & is capable of producing AI-training data efficiently and in volumes across all industries.
Competitive Edge
The wide gamut of variable data provides AI with copious amounts of information needed to train faster.
Blogs
Data Annotation in 2024: Why it Matters & Best Practices
As we near 2024, data annotation and computer vision have become increasingly significant. As technology expands its abilities to AI, meeting demand for high-quality and precise annotations becomes increasingly crucial due to the ever-increasing amount of data...
End-to-End Tools to Productionize ML and Data Science
With speed, machine learning methods are moving from proving concepts to powering essential technologies that users depend on daily to harness the value that has been unlocked. Numerous teams are involved in the excitement of implementing machine learning into their...
What’s Driving the Demand for Data Scientists in 2024 ?
With technological advancements in data science over the last few years, we've seen the rise of businesses adopting data science. Numerous companies are now trying to hire the most skilled people for their data projects to increase their competitive edge. The most...
Data Annotation: Everything About Tools, Use Cases, And Future Directions in 2024
If we are talking about the current trend in global technology—artificial intelligence and machine learning—the primary thing we are concerned about is information. Machine learning models' lives begin with data and end by deploying the model. It turns out that...
What is the Role of Data and Analytics in Business in 2024?
Today's digital environment makes data an ever-increasingly valuable commodity, making data analytics more essential to businesses and individuals. Data analytics will undergo a massive transformation in 2024 as enterprises harness their power for transformation...
Leveraging IoT and Big Data in Intelligent Transport and Logistics Services
The Internet of Things (IoT) and Big Data analytics have transformed logistics and transportation services by ushering in an age of data-driven operations. Fleet managers can now collect massive amounts of real-time information on infrastructure, vehicles, and supply...
Frequently Asked Questions
What is data annotation and why is it important?
Data annotation is the process of marking and tagging information so that it can be understood by model-based learning. This is vital in training AI systems to detect patterns, objects, or even text. Accurate data annotation will ensure that the models provide accurate predictions or classifications and improve their overall performance and reliability.
What types of data annotation services do you offer?
We provide a variety of data annotation services, including image annotation (labeling objects in images), text annotation (tagging objects or sentiments in text), audio annotation (transcribing and labeling spoken text), and video annotation (tracking motions and objects within videos). Our services are customized to meet the needs of your venture.
How do you ensure the quality and accuracy of annotated data?
We guarantee high-quality and precise data annotation through an efficient process incorporating various validation and review stages. Our highly experienced annotation experts adhere to strict guidelines and employ the latest software to eliminate mistakes. In addition, we offer quality assurance tests to confirm the accuracy of annotations.
What is the typical turnaround time for data annotation projects?
The timeline for data annotation projects differs according to the amount and extent of the information. In general, shorter projects may be finished in just a few days, whereas larger or more complicated projects can take weeks. We collaborate closely with you to create an appropriate timeline that will meet your project’s requirements and deadlines.
Can you handle sensitive or confidential data?
Yes, we do take data confidentiality and privacy very seriously. We employ strict security measures to safeguard sensitive or private data, including secure storage solutions and encryption, access, and controls. Our staff is educated to handle your data with the utmost care, making sure your data is protected during an annotation procedure.