Data Annotation


Under Machine Learning and Artificial Intelligence 
Data Annotation is one of the most important tasks if you have accurately annotated data, which means your data is properly structured or labeled, to teach your machine learning model to learn, predict, understand, and make decisions according to situations. 

Meaning: Basically, data labeling means tasks that include, transcription, annotation, moderation, data tagging or processing, categorization, etc. 

We here at learning spiral (data labeling company) are partnering with some of the leading global companies focusing on AI projects in the world, and are working on a wide variety of highly nuanced Computer Vision, NLP/NLU services, etc. Our whole Data labeling work is performed by well-trained and dedicated professionals. 


  1. Machine Learning technology enables machines to learn from experience without well-defined programming or human intervention. It is the technology of the future. Machine Learning, along with IoT and AI, is likely to push India’s cloud market to $7.1 billion by 2022
  1. Machine learning means learning from data; but AI is a buzzword. Machine learning lives up to the hype: there are an incredible number of problems that you can solve by providing the right training data to the right learning algorithms. Training data is the result of qualitative data annotation and Data Labeling services provided by Data Labeling company. 
  1. ML can only be as good as the data you use to train it. The phrase “garbage in, garbage out” predates machine learning, but it aptly characterizes a key limitation of machine learning. Machine learning can only discover patterns that are present in your training data. For supervised machine learning tasks like classification, you’ll need a robust collection of correctly labeled and annotated data richly featured training data. That helps is to conclude: one of the most important tasks involved in AI & ML is Data Annotation and Data Labeling services. 

 Unlike artificial intelligence, machine learning mostly depends on huge amounts of data and its analysis. Despite the fact that numerous IT specialists are constantly working in attempts to make algorithms of machine learning more sophisticated and accurate, the key factor which determines the success of this process is the amount of available data.

Thus, Annotated & Labeled Data is key to Machine Learning  


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


  1. Text annotation
  2.  Image annotation
  3.  Video annotation
  4. Audio Annotation 

Learning Spiral, Data labeling company provides Data annotation and Data labeling services and is now working on a wide variety of highly nuanced Computer Vision, NLP/NLU, Content, and digital publishing use cases. 

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