TY - GEN
T1 - Performance Analysis of the Pretrained EfficientDet for Real-time Object Detection on Raspberry Pi
AU - Kamath, Vidya
AU - Renuka, A.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Recently there has been a lot of demand for deep learning models that can operate on a constrained device. When it comes to the task of object detection, EfficientDet is a well-known model. In this study, we use the integer quantization technique to perform real-time object detection on a Raspberry Pi using the popular EfficientDet family. We use the pretrained models from the TensorFlow to perform object detection for a specific task and evaluate their on-device performance. We examined the models' performance in terms of average precision and recall, IOU, speed, and model size. When working on a Raspberry Pi, we discovered that EfficientDet1 after quantization, with a moving average decay of 0.95 and a Stochastic Gradient Descent optimizer is a good choice.
AB - Recently there has been a lot of demand for deep learning models that can operate on a constrained device. When it comes to the task of object detection, EfficientDet is a well-known model. In this study, we use the integer quantization technique to perform real-time object detection on a Raspberry Pi using the popular EfficientDet family. We use the pretrained models from the TensorFlow to perform object detection for a specific task and evaluate their on-device performance. We examined the models' performance in terms of average precision and recall, IOU, speed, and model size. When working on a Raspberry Pi, we discovered that EfficientDet1 after quantization, with a moving average decay of 0.95 and a Stochastic Gradient Descent optimizer is a good choice.
UR - http://www.scopus.com/inward/record.url?scp=85126863293&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85126863293&partnerID=8YFLogxK
U2 - 10.1109/CCUBE53681.2021.9702741
DO - 10.1109/CCUBE53681.2021.9702741
M3 - Conference contribution
AN - SCOPUS:85126863293
T3 - 2021 International Conference on Circuits, Controls and Communications, CCUBE 2021
BT - 2021 International Conference on Circuits, Controls and Communications, CCUBE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Conference on Circuits, Controls and Communications, CCUBE 2021
Y2 - 23 December 2021 through 24 December 2021
ER -