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Jermphiphut Jaruenpunyasak. A comparative study of YOLO models for sperm and impurity detection based on proposed augmentation in small dataset. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2023.
A comparative study of YOLO models for sperm and impurity detection based on proposed augmentation in small dataset
Name: Marwan Nawae
Organization :
Prince of Songkla University. Faculty of Medicine
Email :
jiwang.nawae@gmail.com
Name: Prawai Maneelert
Organization :
Prince of Songkla University. Faculty of Medicine
Email :
klongprawai@gmail.com
Name: Chainarong Choksuchat
Organization :
Prince of Songkla University. Faculty of Medicine
Email :
chchaina@yahoo.com
Name: Tonghathai Phairatana
Organization :
Prince of Songkla University. Faculty of Medicine
Email :
tonghathai.p@psu.ac.th
Organization :
Prince of Songkla University. Faculty of Medicine
Email :
jjermphi@medicine.psu.ac.th
keyword:
YOLO Models
LCSH:
Spermatozoa
-- Detection
Abstract:
Sperm detection can help with a lot of different
kinds of research, such as forensics, assisted reproduction, and
fertility assessment. However, it can be challenging to detect
the sperm, particularly when the sample size of the dataset is
minimal. This paper presents a comparison of different YOLO
(You Only Look Once) models for sperm and impurity detection
based on the proposed augmentation in the small dataset.
According to the results, the YOLOv5 model had high precision,
recall, F1-score, and mean average precision (mAP) for training
with both the original dataset and the proposed augmentation
dataset. While the YOLOv8s model had the highest precision,
recall, F1-score, and mAP (0.994, 0.965, 0.979, and 0.993,
respectively), only training with the proposed augmentation.
In short, when trained with the proposed augmentation, the
YOLO models can detect sperm and impurity even when both
the objects and the number of samples are small
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2023
Modified:
2024-12-23
Issued:
2024-12-23
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Computational Intelligence Society Thailand Chapter, King Mongkut's Institute of Technology Ladkrabang. School of Information Technology and Universitas Gadjah Mada. Department of Electrical Engineering and Information Technology. The 15th International Conference on Information Technology and Electrical Engineering (ICITEE 2023) (pp.269-274) Nonthaburi : IEEE Computational Intelligence Society Thailand Chapter, 2023
eng
©copyrights King Mongkut's University of Technology North Bangkok
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ใช้เวลา
0.038936 วินาที
Marwan Nawae
| Title | Contributor | Type |
|---|---|---|
| A comparative study of YOLO models for sperm and impurity detection based on proposed augmentation in small dataset
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Marwan Nawae;Prawai Maneelert;Chainarong Choksuchat;Tonghathai Phairatana;Jermphiphut Jaruenpunyasak | บทความ/Article |
Prawai Maneelert
| Title | Contributor | Type |
|---|---|---|
| A comparative study of YOLO models for sperm and impurity detection based on proposed augmentation in small dataset
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Marwan Nawae;Prawai Maneelert;Chainarong Choksuchat;Tonghathai Phairatana;Jermphiphut Jaruenpunyasak | บทความ/Article |
Chainarong Choksuchat
| Title | Contributor | Type |
|---|---|---|
| A comparative study of YOLO models for sperm and impurity detection based on proposed augmentation in small dataset
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Marwan Nawae;Prawai Maneelert;Chainarong Choksuchat;Tonghathai Phairatana;Jermphiphut Jaruenpunyasak | บทความ/Article |
Tonghathai Phairatana
| Title | Contributor | Type |
|---|---|---|
| A comparative study of YOLO models for sperm and impurity detection based on proposed augmentation in small dataset
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Marwan Nawae;Prawai Maneelert;Chainarong Choksuchat;Tonghathai Phairatana;Jermphiphut Jaruenpunyasak | บทความ/Article |
Jermphiphut Jaruenpunyasak
| Title | Contributor | Type |
|---|---|---|
| A comparative study of YOLO models for sperm and impurity detection based on proposed augmentation in small dataset
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Marwan Nawae;Prawai Maneelert;Chainarong Choksuchat;Tonghathai Phairatana;Jermphiphut Jaruenpunyasak | บทความ/Article | |
| Pilot study on gait classification using machine learning
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Sarawut Krutaraniyom;Kiattisak Sengchuai;Apidet Booranawong;Jermphiphut Jaruenpunyasak | บทความ/Article |