OBJECT DETECTION USING MACHINE LEARNING*
Abstract
AbstractComputer vision is excelling in the field of segmentation, feature extraction, and object detection from image data. The object detection is gaining immense interest from a application such as healthcare, traffic monitoring, surveillance, robotics etc. The ability to detect the object more precisely is an important factor due to its application in sensitive domains. Over the past few years, researchers have strived to cope up with this challenge. This study presents a review of object detection approach considered using Convolutional Neural Network (CNN). The CNN is used in all three methods (salient, objectness, and category-specific) of object detection. Deep learning frameworks and the platforms that are popular for the object detection task are also reviewed.Keywords: Salient, Objectness, Object Detection, F-RCNN, CNN
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IMPORTANT DATES
Submit paper at ijasret@gmail.com
Paper Submission Open For |
March 2024 |
UGC indexed in (Old UGC) |
2017 |
Last date for paper submission |
30th March, 2024 |
Deadline |
Submit Paper any time |
Publication of Paper |
Within 01-02 Days after completing all the formalities |
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Publication /online Conference |
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Free for PR Students
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