How Data Quality Contributes to AI Success
The quality of datasets plays an important role in the functioning of artificial intelligence (AI) in machines and applications. Acquisition…
Category: Annotation Services
The Supreme Guide to Image Annotation for Computer Vision
You must carefully label each image in your dataset to train an AI system to recognize objects similarly to how…
A Quick Look at Audio Classification & Signal Retrieval
Audio data is becoming increasingly prevalent on public networks, particularly on Internet-based platforms. It is, therefore, essential for us to…
The Most Commonly Used Text Annotations in Natural Language Processing
Machine learning and artificial intelligence (AI) are here to stay. They’ve altered the way we live and interact with the…
Impact of AI on Security and Surveillance on Smart City Quality of Life
As more cities adopt monitoring and sensing technology, artificial intelligence-enabled ai in security cameras are on the front lines of…
Use of Bounding Box Annotations is Important for Object Detection
Object detection is making inroads into a variety of industries, with applications ranging from personal security to office productivity. Many…
How AI in Security Cameras Provide best Security Surveillance Solutions?
Public security and surveillance is becoming more important with the increase of crime and threats from illegal activities globally. But…
What is the AI Image Recognition in Computer Vision?
Artificial Intelligence (AI) is becoming intellectual as it is exposed to machines for recognition. The massive number of databases stored…
What is the Best Challenges with Annotate 3D Point Cloud Data for LIDARs?
3D point cloud data is one of the most complex types of machine learning data used to generate the most…
Top Most Data Labeling Challenges in Annotation Companies
Data labeling is not a task, it requires lots of skills, knowledge and lots of effort to label the data…
Why Human Annotated Datasets is Important for Machine Learning?
Developing an AI model through machine learning is not possible without huge volume of data like training data, testing data…
