Object Recognition

Object recognition is a computer vision technique that enables a machine to detect, differentiate, and classify objects found in digital images. It is a critical task in Artificial Intelligence (AI) and Machine Learning (ML) research, as it enables machines to interpret and interact with their environment more accurately and autonomously. This technique has been used in a variety of real-world applications, such as autonomous vehicles and surveillance systems, image recognition for search engines and autonomous robots. In addition, object recognition can also improve the security of computer networks and the accuracy of medical diagnosis systems.

← Journal of Big Data Research

Related Articles

5 article(s) found
Subjective and Objective Actigraphic Sleep Monitoring and Psychopathology in a Clinical Sample of Patients with Night Eating Syndrome, with and Without Binge Eating Behaviors
Full-text HTML Download PDF Download XML
The Practice of Using and/or Cutting The Body With Sharp Objects: A Case Study of University Students’ Risk Awareness in Selected Universities in Abia State
Full-text HTML Download PDF Download XML
How to Objectively Measure The Quality of Sleep
Full-text HTML Download PDF Download XML
A Case of an Orbitocranial Injury with an Unusual Foreign Object
Full-text HTML Download PDF Download XML
Clustering objects for spatial data mining: a comparative study
Full-text HTML Download PDF Download XML