Gaming and sports is one of the
leading entertainment industries, growing worldwide providing various scope for
AI and machine learning developers to create the model that can provide a
better gaming experience, at the same time also make available useful data for
game developers to use such data for developing more interactive games.
Actually, AI-based analysis
system and visual gaming can give a more detailed insights of the gamers as
well as data used while playing the games. In sports industry machine learning
and AI can help developers to identify the actions and poses of the humans
recognized through visual perception based AI models like videos games, or
virtual reality based games.
And to develop such AI-based or
machine learning models, annotated images requires that can provide the visual
recognition of the objects in the images. Cogito provides, the image annotation
service to annotate the images and provide the training datasets to develop the
AI-based models for sports and gaming industry and below you can find the types
of annotations used for this industry.
Landmarking to Detect the Human Poses
Landmark annotation or you can
say point annotation,
is used to make the human poses recognizable. In landmarking annotation, human
faces and body action is pointed with points to define the human action or poses.
It provides the visual recognition of the human poses while performing the diverse
types of actions in various types of sports.
Image Annotation for Sports Analytics
In racing games and soccer
sports, participants are detected and recognized through AI and machine model
to detect their position or analyze the data for other purposes. Bounding box
annotation, helps to capture such pictures in the images provides a training
datasets for AI based models.
Anolytics, provides the bounding
box image annotation service to annotate the object of interest with precision
for making such objects recognizable to machines. It can annotate all types of
images with focus on object of interest to make them easily recognizable to
machines.
Semantic Segmentation for Video Games
In video games, the computer
vision technology helps to detect the objects and semantic segmentation image annotation can make such objects in a single-class
recognizable with more precision. The computer games have two approaches, one a
participant who is playing the and another is computer itself that play with
opponents.
Semantic segmentation helps to segment
the objects visible in the groups. Cogito provides the semantic segmentation
image annotation service to annotate the images for the sports and gaming. It
can provide the quality training datasets for machine learning and AI-based
models.
High-quality Training Data for AI in Sports & Gaming Industry
For deep learning in sports and gaming industry, Cogito can provide the
high-quality training datasets that can used to train the AI models developed
through machine learning algorithms. It can annotate the any type of image with
accuracy for right predictions by visual perception based AI models.
Cogito provides data annotation
services with expertise in image annotation services to develop the AI or
machine learning models for different industries and sectors. Cogito annotate
the images, for all the leading industries like healthcare, retail, autonomous
vehicles, agriculture, sports, robotics, media, smart cities, insurance and
various other industries.
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