We live in a data-driven world where raw, unstructured data is exploding in volume and capacity. To make sense of all of this data, businesses in the US and around the world are turning to AI/ML models to extract valuable insights and improve processes. However, the accuracy of these models largely depends on the quality of data used to train them. This is where Opporture’s data annotation services come into the picture.
By accurately labeling unstructured data in images, video, text or audio, Opporture helps you train your models to understand what the content is all about. With Opporture’s accurate data annotation services, your models will be able to identify patterns, detect objects within these content formats and perform other complex data analysis tasks.
At Opporture – a reliable data annotation company in North America, we tailor our content annotation services to meet every specification our clients mention. Trust us to unlock the power of your data and optimize your AI potential.
Opporture’s image annotation experts deploy various annotation techniques such as bounding boxes, polygon, and keypoint annotation, among others, for accurate image analysis. Our expert services guarantee high-quality training data for your models from every pixel of any image of any size.
Our video annotation services focus on training machines and computers to detect and identify objects using AI-powered algorithms. Our expert annotators break down video clips into frames, derive sequences and add contextual information so that your algorithms can make sense of the finer details.
Opporture’s multi-lingual text annotation services enable your machine learning and NLP algorithms to understand metadata for use in text classification tasks such as sentiment analysis, spam detection, entity classification, named entity recognition (NER), etc.
Our top-quality audio annotation services are designed to deliver multi-labeled and well-structured audio datasets. We deploy advanced segmentation techniques to ensure that the data can be used to train AI speech recognition and speaker identification models.
Our diversely applicable medical data annotation services comprise medical record classification, image and video analysis, and drug discovery. Our labeled and annotated medical data helps train AI & ML algorithms for better efficiency.
The most prevalent sort of content annotation for algorithmic platforms is bounding boxes. Our computer vision experts employ rectangle box annotation to represent items in videos and photos in order to generate training data for apps and algorithms that detect and localize objects during machine learning processes.
Semantic Segmentation assists in the resolution of vision problems with older computers by taking raw data such as 2D images as input and converting it into a mask with areas that need to be emphasized. Semantic segmentation groups together elements of images that pertain to the same object of interest to users and solves the computer vision problem.
Polygon or polygonal segmentation will assist algorithms to annotate irregular or coarse asymmetrical objects. It is beneficial to acquire huge photos, such as aerial photography, for more precise annotation. Annotate your photos with more precise boundary polygons to create clearer and more accurate vision models for aerial imagery.
By connecting individual points across objects, Opporture’s teams outline objects and shape variants. This annotation identifies bodily aspects such as facial expressions and emotions.
Our expert sentiment and subject analysts can spot trends and nuances in massive amounts of text data such as product reviews, financial news, and social media. Our multiple-language annotation for sentiment analysis enables moderators to better understand how their users perceive and react to various pieces of content, identify current trends, and more!
With Natural Language Processing, platform moderators can understand the nuances and sentiments behind the text, and derive insights from the content to personalize the platform experience for the users.
With our content annotation services, the machine learning algorithms of your platforms, applications, publications, and websites that are in charge of training prediction data would function with better context.
Here is how our content annotation services aid our clients:
Immersive User Experiences
AI-powered platforms – like chatbots, search engines, social media and microblogging sites, and eCommerce stores – are designed to offer users the best possible experience and simplify their lives. Our content annotation services guarantee that users enjoy seamless online interaction experiences where their conflicts are resolved, and search requests are answered with relevant results. With our help, you can know your users better from their digital footprints, and cater to their needs and queries with better relevance.
More Precise Results
By using our content annotation services, you will be able to train your algorithm with large amounts of data, improving the accuracy of your output. Your algorithm will learn different types of parameters that will help the model find the appropriate data in the database.
Highly Scalable Models
Our Content annotation services are used by companies from the following industries:
We aid healthcare providers to identify and diagnose medical conditions through accurate medical image annotation services. Our experience in working with the healthcare industry, as well as our expertise with modern data annotation tools, ensure quality in radiology imaging.
Retailers and eCommerce platforms can understand their customers better and deliver more satisfying shopping experiences through annotation technology. With our services, retailers can capture and analyze customer data, improve inventory planning and product categorization, understand customer sentiments and wants, and more. In the past, we have aided our clients to enhance their retail operations with improved conversion rates, average order values, customer retention, and better customer satisfaction.
Opporture is an expert in creating human-labeled, high-quality, error-free image annotation for self-driving cars. To give self-driving cars flawless self-driving capabilities, we are experts at categorizing photos and videos frame by frame and annotating & labeling as many characters as we can in unstructured datasets, such as pedestrians, cars, roads, lampposts, traffic signs, etc.
In order to create training data for security and surveillance systems, we make use of modern tools and methods. Your AI-based security and surveillance systems can be trained to properly predict weapons and potential threats using our precise video, audio, and image annotation services.
With NLP capabilities and text annotation expertise, we help digital platforms understand their users better by analyzing the content they create, and giving them more personalized end experiences across devices. We help you understand user sentiment, search behavior, speech patterns, and more through our advanced annotation techniques.
Data annotation is a process where metadata, tags, and other information are added to data points so that Machine Learning models recognize patterns and make accurate predictions. One such example is the labeling of images with descriptions of objects or regions of interest within an image.
Annotation is a critical requirement for training ML models and can be done manually or with the help of AI. Opporture high-quality annotation services to help businesses train their Machine Learning models effectively with accurate training data.
Content or data annotation involves adding adequate descriptions or tags to unstructured and raw data such as images, videos, audio, etc., so as to make them more meaningful for analysis by machine learning models. Annotation helps improve the performance of machines by allowing them to understand the input data better. With annotations, platforms can provide rich, personalized user experiences, deliver more useful and relevant content, and enable better search results. Thus, annotation becomes crucial for AI-driven platforms.
We leave no stone unturned when it comes to the quality of our services. At Opporture, we have a team of well-trained annotators and Computer Vision specialists who maintain good consistency and a high level of accuracy in the annotation process. Further, we follow stringent quality guidelines and standards to validate the accuracy of the annotations.
Our annotation services cover all forms of audio and video content, such as podcasts, interviews, music videos, and lectures, to name a few. We also do the following:
In short, our annotation services can vastly improve the accuracy and performance of your ML algorithms by training them to understand and analyze complex content better.
AI-driven content annotation is not entirely flawless because it cannot understand or interpret complex and sensitive data. Hence, AI models can produce biased results if trained on biased data. To ensure accuracy and fairness in our services, we adopt the Human-In-The-Loop approach, where our human annotators review the AI-annotated content before it is finalized.
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