What is Data Annotation

Data Annotation 

 Data annotation is an indispensable stage of data preprocessing in supervised learning. Artificial Intelligence (AI) and Machine Learning (ML) dictate a new approach to business – one that requires plenty of data. It’s a crucial task for machine learning because data scientists need to use clean, annotated data to train machine learning models.

Our data annotation team is capable of drawing bounding boxes, cuboids, polygon, picture classification/ tagging, text annotation, image masking annotation, data annotation & labeling, 2D & 3D annotation, Semantic segmentation, 3D LIDAR Annotation, autonomous vehicle, tagging of aerial view pictures, drone technology, contour annotation, etc. 

Data annotation consists, text annotation, image annotation and video annotation using the various techniques as per the project requirements and machine learning algorithms compatibility. Data annotation is done to create the training data sets for AI and ML. Ability to deliver data annotation and data labeling at scale.

Text Annotation

Learning Spiral is well equipped to handle any kind of text annotation project. Whether you’re training an entity extraction system or sentiment analysis tool, our curated crowd can accurately label text data in many languages and dialects. Text annotations help machines to recognize the crucial words in sentences making it more meaningful.

Audio Annotation

Develop, calibrate and improve voice-enabled applications with our audio annotation services. With expertise developed audio enhancement tools for noise removal and speech enhancement, we will be your perfect partners for audio transcriptions tasks such as “customer support calls, Speech to text transcription, Metadata attribution to audio data such as gender, audio quality, Sentiment analysis, labeling and satisfaction measurement for support calls and much more. 

Image Annotation

Image annotation outsourcing to us means our clients get a cost-effective data labeling service helping them to minimize the cost of their project with the best efficiency.

Image Annotation is a task of marking and outlining objects and entities on an image and offering various keywords to classify it which is readable for machines. This is a very important task as this data helps generate datasets that help computer vision models work in a real-world scenario. We annotate & tag images with corresponding labels & keywords for easy categorization & help you in creating your customized terminology for object tagging.

Video Annotation

Build comprehensively labeled video datasets with Learning Spiral suite of video annotation services. From object localization to video tracking, Learning Spiral has the experience and technology necessary to serve all of your video annotation needs.

How Data Annotation changing AI realm?

1) Helps to improve the accuracy of data 

As much as image annotated data is used to train the machine learning model, the accuracy will be higher. The variety of data sets used to train the machine learning algorithm will learn different types of factors that will help model to utilize its database to give the most suitable results in various scenarios.

With annotated data, the performance of AI applications and machine learning solutions are more accurate and relevant. This includes relevant product search results in search engines, as well as pertinent product recommendations on e-commerce platforms. With a machine learning algorithm trained with annotated data, only a few characters are needed for sites to be able to produce the desired results of the users.

2) Better user experience 

Through accurate & quality data used in machine learning algorithms the whole user experience becomes efficient, effective and more seamless. Virtual assistant devices or Chat bots have the ability to provide users with accurate answers. And so Machine learning based trained AI models give a totally unique experience for end-users.

3) Better Results 

Data annotation services provided by Data annotation companies helps to provide better & improved results to make it usable for machine learning. With better results and more progress in training data, it can be deemed that the future is bright for various industries and companies opting various data annotation companies to get data annotation services for their algorithms. 

4) Quality Training Data 

Advance Data Annotation Techniques helps to improves quality of training data in an interactive manner after human correction. Takes Less time and greater output. When it comes to machine learning, no element is more essential than quality training data.

Learning spiral has a workforce with a diverse set of skills and the ability to deliver data annotation and data labelling at scale. We have a rich history of 15+ years of handling sensitive data on a large scale. Your Data our responsibility 

Pick the best Data labeling company for computer vision and NLP services while saving money and time!