Data annotation and labeling involve adding meaningful tags to data, helping machine learning models understand and learn from it.
At Phygital Insights, we offer professional data annotation and labeling services to help you overcome challenges and achieve your data-driven goals. Our expert annotators meticulously label and annotate data, ensuring the highest levels of accuracy and consistency.
We assist you optimize your business performance with the following services:
Add tags to images, such as object detection, image segmentation, bounding boxes, and key point annotations.
Tag data in the texts with various labels, such as named entity recognition, sentiment analysis, and text classification.
Tag audio data with various labels, such as sound event detection, speech-to-text conversion, and music genre classification.
Identify and tag objects and events in a video, such as object tracking, action recognition, and activity recognition.
Labeling text data with a sentiment score, such as positive, negative, or neutral, to classify and analyze the writer's sentiment.
Tag specific entities in a text, such as names of people, organizations, or locations, to extract and analyze specific information.
Identify and tag objects in an image or video frame with bounding boxes, indicating the location of objects within the visual data.
Categorize images based on specific features or criteria, such as color, shape, or content, to recognize patterns and features within the images.
Improved data quality through rigorous annotation
Enhanced analysis accuracy with standardized labels
Increased processing efficiency through automated labeling
Improved model training with high-quality annotations
Enhanced ML algorithm performance with labeled data
Improved decision-making through precise labeling
Increased customer satisfaction with personalized labeling
Streamlined data management with organized datasets
Our expert annotators use best-in-class tools and techniques to ensure that the data is accurately labeled and annotated to meet your needs.
Our services increase customer satisfaction by providing high-quality labeled data, resulting in better performance and accuracy of machine learning models.
We provide consistent and accurate labeling, enabling better training of machine learning models and improving the quality of AI-powered applications.
Our services help improve data search and retrieval by making it easier to search and filter data based on specific criteria.
We maintain strict confidentiality and security protocols to ensure that your data is protected at all times and only accessible to authorized personnel.
Our services provide labeled data, enabling machine learning algorithms to learn faster, resulting in more accurate predictions and faster model training times.
We have helped businesses from various industries through our data annotation and labeling services. Such industries are:
Banking and financial services
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Data annotation is adding metadata or labels to data sets to help machines learn from them. The labels may describe what the data represents or mark specific features of the data.
Data labeling is assigning predefined categories to data sets, such as assigning sentiment labels to customer reviews or classifying images as containing different objects.
Data labeling and annotation are essential processes in machine learning, but they differ in their specific goals and approaches.
Data labeling involves assigning predefined categories to data sets. For example, in an image recognition task, a data labeling service might classify images like "dog" and "cat." The goal of data labeling is to provide a set of labeled data that can be used to train machine learning algorithms to recognize patterns and make predictions based on those patterns.
Data annotation, on the other hand, involves adding metadata or labels to data sets that describe specific features of the data. For example, in an image recognition task, a data annotation service might mark specific regions of an image and label them with descriptors like "foreground" or "background." Data annotation aims to help machines understand the structure and meaning of data by providing additional context and information.
Data annotation and labeling are crucial for machine learning, as machines rely on labeled data to learn and improve their accuracy in tasks like image recognition, speech recognition, and natural language processing.
Data annotation and labeling services can be applied to various types of data, including text, images, audio, and video.
Data annotation and labeling services are used in various industries, including e-commerce, healthcare, finance, and more. Common use cases include product categorization, image and video analysis, sentiment analysis, and speech recognition.
The cost of data annotation and labeling services can vary depending on the project's scope and complexity. Consult us to receive a cost estimate for a specific project.
Choosing a service provider with a strong reputation and experience in the specific type of data annotation or labeling you require is important. In addition, look for providers with a transparent pricing model and quality assurance processes. Phygital Insights offers data annotation and labeling services with years of experience and assured quality.
As healthcare providers, we have to deal with massive volumes of structured and unstructured data made of text, image, video, audio, or a mix. This was affecting the efficiency of our AI models. We urgently needed to assess if our models were being trained the right way and for the right purposes. Phygital implemented the right tool and manpower to rectify the feeds and make our AI model more effective.
Head of Data Management, US-based Hospital
Deciphering handwritten applications was a big challenge for us. Phygital's data annotation services helped us resolve even the hardest handwritten text. We trust and recommend their services!
Operations Manager, UK-based Insurance company
We needed proper labeling of images to carry out sentiment analysis. Phygitals provided us with skilled experts to spot and label expressions, facial landmarks, and emotions.
Chief Technology Officer, UK-based Private Forensic Company