real-time multiple object recognition

Pradeep Doss; Aditya Rai; Shashank Rai

real-time multiple object recognition

October 2018

Vol-4, Issue-5

Paper ID: 9156

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

Real-time Object Recognition TensorFlow Object Detection API COCO Single Shot Detector MobileNets Detection Models

Abstract

This paper manages the field of computer vision, mostly for the execution of ongoing article acknowledgment utilizing TensorFlow Object Detection API. TensorFlow Object Detection API is an open source structure based over TensorFlow, it makes it simple to build, prepare and convey Object Detection Models. The API likewise gives an accumulation of Detection Models pre-prepared on Microsoft COCO dataset. This paper will manage one of the Detection Models which is the mix of Single Shot Detectors (SSD) and MobileNets design, it is quick, proficient and does not require tremendous calculation to achieve the protest acknowledgment assignment.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Pradeep Doss	SRM Institute of Science and Technology
2	Aditya Rai	SRM Institute of Science and Technology
3	Shashank Rai	SRM Institute of Science and Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style

Doss, Pradeep, Rai, Aditya, & Rai, Shashank (2018). real-time multiple object recognition. International Journal of Advance Research and Innovative Ideas In Education, 4(5), 719-722.

MLA Style

Doss, Pradeep, et al. "real-time multiple object recognition." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 5, 2018, pp. 719-722.

IEEE Style

Pradeep Doss, Aditya Rai, and Shashank Rai, "real-time multiple object recognition," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 5, pp. 719-722, 2018.

Vancouver Style

Doss Pradeep, Rai Aditya, Rai Shashank. real-time multiple object recognition. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(5):719-722.

Harvard Style

Doss, Pradeep, Rai, Aditya, & Rai, Shashank (2018) 'real-time multiple object recognition', International Journal of Advance Research and Innovative Ideas In Education, 4(5), pp. 719-722.

Chicago Style

Doss, Pradeep, Aditya Rai, and Shashank Rai. "real-time multiple object recognition." International Journal of Advance Research and Innovative Ideas In Education 4, no. 5 (2018): 719-722.

Turabian Style

Doss, Pradeep, Aditya Rai, and Shashank Rai. "real-time multiple object recognition." International Journal of Advance Research and Innovative Ideas In Education 4, no. 5 (2018): 719-722.