Deep Convolutional Neural Networks for Real Time Object Recognition
Abstract & Details
Research Area
Machine learning
Keywords
Object detection
YOLO
Convolution neural networks
deep learning
non-GPU
Camera.
Abstract
This paper focuses on Object recognition using YOLO, a real-time object detection model developed to run on portable devices such as a laptop or web camera. The model was first trained on the dataset then on the COCO dataset, when we look at the old .5 IOU mAP detection metric YOLOv3 is quite good. This paper presents a new Object detection method based on transfer learning and sample enhancement under the framework of YOLO network. This method takes full advantages of the real-time feature of YOLO, as well as the enhancement of the generalization ability brought by transfer learning and sample enhancements.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Jaiswal Shruti | Silver Oak College of Engineering & Technology |
| 2 | keyur shah | Silver Oak College of Engineering & Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Shruti, Jaiswal & shah, keyur (2019). Deep Convolutional Neural Networks for Real Time Object Recognition. International Journal of Advance Research and Innovative Ideas In Education, 5(6), 412-417.
MLA Style
Shruti, Jaiswal, and keyur shah. "Deep Convolutional Neural Networks for Real Time Object Recognition." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 6, 2019, pp. 412-417.
IEEE Style
Jaiswal Shruti and keyur shah, "Deep Convolutional Neural Networks for Real Time Object Recognition," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 6, pp. 412-417, 2019.
Vancouver Style
Shruti Jaiswal, shah keyur. Deep Convolutional Neural Networks for Real Time Object Recognition. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(6):412-417.
Harvard Style
Shruti, Jaiswal & shah, keyur (2019) 'Deep Convolutional Neural Networks for Real Time Object Recognition', International Journal of Advance Research and Innovative Ideas In Education, 5(6), pp. 412-417.
Chicago Style
Shruti, Jaiswal and keyur shah. "Deep Convolutional Neural Networks for Real Time Object Recognition." International Journal of Advance Research and Innovative Ideas In Education 5, no. 6 (2019): 412-417.
Turabian Style
Shruti, Jaiswal and keyur shah. "Deep Convolutional Neural Networks for Real Time Object Recognition." International Journal of Advance Research and Innovative Ideas In Education 5, no. 6 (2019): 412-417.
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