Object classification and segmentation – both are part of machine learning based image processing to train the AI algorithms through computer vision. And both are important for object recognition precisely in machine learning and AI development.

How they are Different from Each Other?

Though, first one is a kind of more precise classification of objects in an image of a single class, while later one simply classify the two different objects in a single image. Image annotation…

All these are the part of image annotation but there is difference between all of them as one of them is done for creating training data for machine learning and technique of second one.

Finally the last one is like second one but done with the help of AI-enabled machines while second one is done by humans manually using tools. So, to differentiate both of them we will start from second one and discusses about other relevantly.…

AI-enabled chatbot is becoming popular among the companies, curious about their customers to help them all-the-time as per their ease. Actually, this automated chat application system comes with multiple benefits, that a business owner can utilize and improve their customer service while growing their business.

As per the Gartner recent reports – by the end of 2020, around 85% of business relationships will be managed by customer without interacting with humans, that will encourage…

Training data is the real fuel to accelerate the machine learning process. It can only provide the actual inputs to the algorithms to learn the certain patterns and utilize this training to predict with the right results if such data comes again in real-life use.

Actually, training data is generated through labeling process which involves image annotation, text annotation and video annotation using certain techniques to make the objects recognizable to computer vision for machine…

Data labeling process for image annotation is not only critical but time taking. It creates training data sets for machine learning and AI model development. And the cost of such training data also depends on cost labeled data available for such needs.

Actually the cost of entire machine learning project is also pricing of correlated with the image annotation pricing of annotated data. The images labeled by the annotators using their efforts and skills also needs exploitation of…

Video annotation to label the moving objects in the video recording to make it recognizable to computer vision based machine learning algorithms. Self-driving cars or autonomous vehicles needs such highly labeled videos with right metadata helping such machines to detect the physical object through various sensors and move safely.

Cogito provides, the video annotation service for machine learning algorithm training to develop the autonomous cars with best level of accuracy. The video…

Developing an AI-enabled Chatbot application is very much possible if right quality and amount of training data is available. And Cogito Tech is the pioneer in supplying chatbot training data sets with NLP annotation and Text annotation services to make the speech recognition easier for automated machines.

The chatbot training data developed by Cogito helps to train the natural language processing algorithms learn and understand the communication process of humans when they interact…

Semantic segmentation in image annotation makes the objects recognizable to machines in a single class. Cogito is providing image semantic segmentation service to annotate the multiple types of objects in a single image to make is identifiable to computer vision based perception model like self-driving car or autonomous vehicle.

Semantic segmentation is available for AI and machine learning models needs to better understand the scenario and recognize the object visible into their…

Deepfakes are an AI technology based created realistic fake images or videos of targeted people by swapping their faces other person saying or doing things that are not actually done by them. And people start believing in such fake videos, as its is not recognizable with normal human eye, it requires in-depth analysis.

How does Deepfake work?

A Deepfake video seems like a original content having the person doing some kind of action or speaking on a topic. And while creating…

Polygon image annotation service for computer vision object detection through machine learning. Detecting the irregular shapes or coarse objects, polygonal annotation helps autonomous vehicles, detect the road surface marking and other printed signs on roads making the autonomous driving successful and safe.

The polygon semantic segmentation for irregular shapes helping visual perception model observe the different scenario with right level of accuracy. Object localization through…

Machine learning and AI development speeding up at faster pace across the world. And now it is integrated into multiple fields, to automate the working process with better efficiency while reducing the cost and human innervation.

And to develop AI-enabled or machine learning based working models, algorithms are trained with labeled data so that model can learn the data trend, historical patterns and behavior or activity of different types of inputs to predict in the same…