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…
The quality of datasets plays an important role in the functioning of artificial intelligence (AI) in machines and applications. Acquisition…
Since the advent of artificial intelligence (AI), it has become an integral part of real-life systems. There is hardly an…
You must carefully label each image in your dataset to train an AI system to recognize objects similarly to how…
Identifying, getting, characterizing, and interpreting findings from digital pictures or videos is an image annotation. It is one of the…
Data annotation is the process of labeling the data available in various formats like text, video or images. For supervised…
Data can take many different forms. Images are widely used in the processing of visual information. Images are made up…
One of the most recent technical advancements in the video surveillance market is security cameras with Artificial Intelligence (AI). Machine…
Image annotations are carried out for various machine learning models. Bounding box is used in image annotation for computer vision…
Object detection is making inroads into a variety of industries, with applications ranging from personal security to office productivity. Many…
Video annotation, like image annotation, aids in the recognition of objects by modern machines using computer vision. Detecting moving things…
Training of drones, autonomous vehicles, and other computer-vision based models needs annotated images and videos so that the machines can…
Artificial Intelligence (AI) is becoming intellectual as it is exposed to machines for recognition. The massive number of databases stored…
The use of security cameras in home security and round-the-clock surveillance become more popular among people globally. And keeping an…
Data annotation is the process of making the contents available in various formats like text, videos and images, recognizable to…
Labeling the data for computer vision is challenging, as there are multiple types of techniques used to train the algorithms…