Anolytics aims to augment, annotate, and label data accurately, securely, and efficiently by involving humans in the process. Having a rich background in AI, machine learning, and data processing, we are uniquely qualified to provide industry-specific workforce solutions for data annotation & labeling.
We are providing data annotation for machine learning using the advance tools and human powered skills to make each image easily recognizable for machines or computer vision. We can label each data or annotate different types of objects like cars, human, animals or trees etc. using the various modes of annotation as per the client’s needs.
Annotate all types and sizes of images with precise capturing tools making the images recognizable for machines or computer.
Discover MoreLabel or tag clips to train computers or machines to utilize AI powered algorithms to identify or detect objects.
Discover MoreBuild and optimize AI training datasets by capturing, generating, annotating, and validating large volumes of multilingual text data.
Discover MoreAccess multi-labeled, well-researched, granular, segmented, and well-segmented audio datasets for AI success.
Discover MoreIncrease the preciseness of products and services with intelligent classification of objects into one or more relevant tags or category.
Discover MoreGet annotated and labeled medical data to train and develop AI & ML algorithms to facilitate efficient and faster operations and outcomes.
Discover MoreKeep your brand's reputation solid by reviewing and moderating your content based on pre-determined guidelines. Improve your content review process and scale faster. Maintaining the reputation of your site is essential for the safety and comfort of your community members by identifying and removing inappropriate content as soon as possible.
Semantic Segmentation helps to solve the vision problem in outdated computer that involves taking raw data like 2D images as an input and convert them into a mask with areas need to be highlighted. In semantic segmentation masses parts of images together belongs to the same object interested by the users and solve the computer vision problem.
In order to identify and localize videos and images, precise contours in polygon shapes need to be drawn over the products.Read More
Provides an opportunity to detect and classify objects in greater detail so that dimensions can be accurately measured.Read More
Machine learning, robotics, autonomous vehicles, and retail industries use it to classify objects in pictures and videos.Read More
The process of determining the shape and emotion of natural objects like facial features and emotions using a sequence of points.Read More
A 3D cuboid model can provide detailed information about the object by providing more comprehensive detail about the object.Read More
Autonomous cars and other vehicles will use lane detection on roads to detect the lane and move accordingly.Read More
As it displays a wide array of topics related to data annotation and labeling, Anolytics' blog posts tend to provide detailed insight into future perspectives of AI and machine learning technology
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