.png){kind=icon}
Return
Object Detection using Deep Learning: A Review
.png){kind=icon}
OA
AI
DOI：10.1088/1742-6596/1854/1/012012.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Abstract
Accomplished and accurate object detection has been an important topic in the progress of computer vision systems. With the arrival of deep learning techniques, the purity for object detection has increased drastically. The paper aims to inclusive state of the art technique for the object detection with the goal of obtain high accuracy with a real time performance. A major challenge in many of the object detection system is the docility on other computer vision techniques for helping the deep learning-based perspective, which leads to slow and minimal performance. In this paper, I use a completely deep learning-based approach to solve the problems of object detection in an end to end fashion using wireless sensor network. Even if, many techniques have been developed, but I have discussed some famous and basic idea of object detection using deep learning. In the end i have also given their general applications and results.
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
No journal information available
Organization
No organization information available
Cited Papers
No cited papers available