Data Annotation & labeling – A Vital Cog in Computer Vision


Data annotation & labeling is a very significant stage of data preprocessing in supervised learning. Machine Learning (ML) dictates 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.

We provide annotation services as 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 and expert designed tools as per the project requirements and machine learning algorithms compatibility. Data annotation is done to create the training data sets for AI and ML.

The process of labeling is basically making the object recognizable while feeding into algorithms under which there are various techniques and types of data annotation as per the requirements of the clients and projects.

Data annotation is important in machine learning in many use cases, as it makes the work of the machine learning program much easier and accurate 

  • Importance of Text Annotation for NLP 

Text annotation is mainly for speech recognition by machines to understand the communication process among humans speaking in their different languages. Text annotation is for developing the virtual assistant devices and AI chatbots to give answers to various queries asked by the people in their speech style. Under text annotation, metadata is also added to make the keywords recognizable to computers and utilize the same while taking crucial decisions. NLP annotation services are also doing the same job to annotate the texts using the right tools.

Text annotation tools are used to annotate the texts for natural language processing in machine learning. NLP is also used for understanding the sentiment analysis of people from various online sources.

  • Importance of Video Annotation for High-quality Visualization Training

Similar to text annotation, video annotation is done but here the goal is to make the moving objects recognizable to machines through computer vision.

Under video annotation, frame-by-frame objects are being labeled or annotated precisely. And video annotation is used in creating the training data for self-driving cars. Also, In video annotation, various types of objects are annotated in videos to estimate their movements.

Importance of Image Annotation in machine learning 

Detect Objects of Interest in Image

In machine learning, we need to train the machine to detect the various types of objects visible. Self-driving cars, robots, and autonomous flying machines cannot detect such objects unless trained with a proper and accurate process. Image annotation makes an object of interest detectable to machines and work. While image annotation is the technique used to create accurate training data for the visual perception model developed on the principles of AI and ML.  It’s important to make machines perceive objects in their natural surroundings. You need annotated images that you can use to train the ML algorithm to predict.

Thus, Data Annotation & labeling is an important part of data preprocessing for ML, particularly for supervised learning, in which both input and output data are labeled for classification to provide a learning basis for future data processing. Data labeling is also used when constructing ML algorithms for important projects like autonomous vehicles.  Without data annotation & labeling, no model can be trained nor achieve goals. 


One-stop Data Labeling and Annotation Service Provider. Learning spiral has a workforce with a diverse set of skills and the ability to deliver data annotation and data labeling at scale. We have a rich history of 10+ years of handling sensitive data on a large scale. Our affordable annotation services provided by trained in-house dedicated professionals ensure high quality labeled data to meet your needs. We are here to Empower your algorithm and bridge the gap between machines and humans with our reliable data labeling and data annotation services.