AI companies are struggling to acquire reliable data sets to develop their machine learning model. Creating the in-house facility to produce datasets is not only crucial but also costly and time taking. Hence, dedicated data annotation companies like Anolytics has developed a reliable data pipeline to create such data at a larger scale achieving economies of scale to produce data at a lower cost.
Massive Volume of Data with Quality
Such companies expanded their capacity to annotate the massive amount of data while ensuring the quality that is one of the most important functions of the model for right predictions…
The video showing the Text Annotation for Machine Learning. How texts are annotated with added metadata making the entire text document recognizable or comprehensible to machines. Anolytics provides the text annotation services for machine learning and NLP-based all types of AI models need huge amount of labeled datasets. Anolytics make every text comprehensible to machine learning based AI developments with high-quality data annotation services.
Read more — https://bit.ly/2MK3t4t
Follow on Social Media:
Facebook: https://www.facebook.com/anolytics/
Twitter: https://twitter.com/AnolyticsAI
Linkedin: https://www.linkedin.com/company/anolytics/
Pinterest: https://www.pinterest.com/anolytics/
Instagram: https://www.instagram.com/anolytics.ai/
AI Drones that are also known as autonomous flying objects are playing an important role in improving efficiency and productivity in various fields. In the agriculture field, it is aggressively used to perform various tasks helping farmers to improvise their farm productivity with better crop yield.
Also Read : Role of Image Annotation in Applying Machine Learning for Precision Agriculture
But the question right here is how are drones currently being used in agriculture. So, here in this article we will discuss the drone’s applications in agriculture with examples and use cases. …
Annotating the images and video is really a challenging task, due to complexities and accuracy required in various types of AI models. Though image annotation is much easier task compare to video annotation, but both require a special skill and knowledge to perform the annotation task.
In image annotation is performed using the special tool and techniques making the objects in the images recognizable to machines. For computer vision different types of objects are made recognizable through machine learning or deep learning AI model. …
Image annotation is the technique of making the objects in the images recognizable to machine through computer vision. And there are different types of annotation techniques used in image annotation. 2D bounding box annotation is one the very popular among all types of data annotation.
In 2D Image annotation a rectangular or square line is drawn around the object of interest with motive to make it only recognizable that there is some kind of object visible in the environment. The two dimensions of the object is captured to make it recognizable for machine learning training.
And while drawing the 2D…
3D point cloud data is one of the most complex types of machine learning data used to generate the most useful training datasets for autonomous vehicles. LiDAR data is annotated with 3D point cloud annotation to make the objects more precisely detectable to a self-driving car.
LiDAR & 3D Point Cloud Annotation
LIDAR is a kind of remote sensing technology using light in the form of a pulsed laser combined with other data recorded by the airborne system to generate precise, three-dimensional (3D) information about the shape of the Earth, its surface characteristics, and various objects visible there.
A bunch of LIDAR data put into the…
The video annotation services offered by Anolytics is available for wide-ranging AI development fields like autonomous vehicles, human activity or poses to recognize the facial expressions and detect the activities for machine learning. It is also providing live video annotation service using the most advance tools and techniques to annotated the moving objects with best level of accuracy while ensuring the safety of data at each stage of annotation and data delivery.
In computer vision world, objects can be viewed through images. And classifying, tagging, segmenting and annotating these are images are important to make the objects of interest perceivable to machines. And in AI world, computer vision is playing big role helping the models understand the scenario around the world making AI possible through machine learning or deep learning.
What is Image Segmentation?
Image segmentation is the process of partitioning of digital images into various parts or regions (of pixels) reducing the complexities of understanding the images to machines. …
3D cuboid image annotation technique is one of the critical process, helps machines to recognize the all the three dimensions of the objects. This image annotation process is used to detect the objects in-depth that helps to train the 3D visual perception model.
Actually, this image annotation technique helps to build the ground truth datasets for AI models need more accuracy in recognizing the objects in-depth. Self-driving cars, autonomous vehicles and AI models need to recognize the objects kept inside the house.
3D Cuboid Annotation for Robot Training
The robots are basically used to pick the boxes or other items…
Artificial Intelligence (AI) is getting integrated into vital fields making human life more efficient and productive. Similarly, AI in agriculture is making agriculture and farming easier with computer vision-based crop monitoring and production system.
AI Robots, drones and automated machines are playing a big role in harvesting, ripping, health monitoring and improving the productivity of the crops. But do you know how these AI-enabled machines help in precise agriculture and farming?
Actually, these AI machines work on computer vision technology and AI models are trained through annotated images fed using the right machine learning algorithms. Image annotation is the process…
