AI Recognises Emotions very well 

AI with help of data labeling services,  A robot built in the late 1990s called Kismet can recognize emotions through human body language and voice tone.

AI can Repair Itself

One of the most interesting facts is A robot that rebuilt itself after noticing its performance had dropped after losing two of its six legs. The robot did not know what the problem was but fixed it by trial and error.

AI will Become Smarter than Humans

AI with data labeling and ML algorithms can learn anything quickly, meaning its intelligence is increasing. In 2013, AI had the same intelligence as a 4 year old. By 2029, AI will have the same intelligence level as adult humans.

AI can Write

How interesting is this that? 

 A robot wrote an article on an earthquake in California on the Los Angeles Times website, gathering data from a seismograph.

Did you know?

Future of artificial intelligence in art

It was considered U assumed that humans are the only ones who can create art. But with the advent of AI & ML, this statement is somewhat not true. AI can create masterpieces no less amazing than those of renowned artists. The ability of artificial intelligence to write a screenplay, create music, or paint portraits has become quite popular 

AI Market Worth by 2025

AI & Data annotation industry  is growing day by day and it’s expected to achieve greater heights in the future.Reseachers also say by 2025, AI is expected to become a $60 billion dollar industry! AI will make products and services better, and it’s expected to boost many sectors and industries in many countries like USA, India, etc. 

One of the biggest AI necessities is “Data Labeling services” 

Data labeling plays a very important role in ascertaining your AI and machine learning projects are trained with the right information to learn from. Data labeling offers the initial setup for a machine learning model to provide accurate results. Data labeling is a crucial task for machine learning because data scientists need to use clean, annotated, organized data sets to train machine learning models.


Learning Spiral, a Data annotation 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. 

We offer data labeling services as our data labeling team is capable of drawing bounding boxes, cuboids, polygon, image 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.  


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