Object Detection to Identify Shapes of Swallow Nests Using a Deep Learning Algorithm
(1) Universitas Kristen Satya Wacana
(2) Universitas Kristen Satya Wacana
(3) PT Waleta Asia Jaya
(4) PT Waleta Asia Jaya
(*) Corresponding Author
DOI: https://doi.org/10.23917/khif.v8i2.16489
Abstract
Keywords
Full Text:
PDFReferences
L. Elfita, “Analysis on Protein Profile and Amino acid of Edible Bird’s Nest (Collocalia fuchiphaga) from Painan,” Jurnal Sains Farmasi & Klinis, vol. 1, no. 1, hal. 27–37, 2014.
V. Wiley dan T. Lucas, “Computer Vision and Image Processing: A Paper Review,” International Journal of Artificial Intelligence Research, vol. 2, no. 1, hal. 28–36, 2018.
S. R. U. . Dompeipen, Tresya Anjali Sompie dan M. E. I. Najoan, “Computer Vision Implementation for Detection and Counting the Number of Humans,” Jurnal Teknik Informatika, vol. 16, no. 1, hal. 65–76, 2021.
J. Deng, X. Xuan, W. Wang, Z. Li, H. Yao, dan Z. Wang, “A Review of Research on Object Detection based on Deep Learning,” Journal of Physics: Conference Series, vol. 1684, 2020.
A. N. A. Thohari dan R. Adhitama, “Real-Time Object Detection for Wayang Punakawan Identification Using Deep Learning,” Jurnal Infotel, vol. 11, no. 4, hal. 127–132, 2019.
J. Huang et al., “Speed/accuracy trade-offs for modern convolutional object detectors,” Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, vol. 2017-Janua, hal. 3296–3305, 2017.
M. N. Rizal et al., “Implementasi SSD_Resnet50_V1 Untuk Penghitung Kendaraan,” Jurnal Ilmu Komputer (KLIK), vol. 08, no. 2, hal. 106–115, 2021.
M. F. Supriadi, E. Rachmawati, dan A. Arifianto, “Pembangunan Aplikasi Mobile Pengenalan Objek untuk Pendidikan Anak Usia Dini,” Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), vol. 8, no. 2, hal. 357–364, 2021.
X. Wu, P. Yuan, Q. Peng, C. W. Ngo, dan J. Y. He, “Detection of Bird Nests in Overhead Catenary System Images for High-Speed Rail,” Pattern Recognition, vol. 51, hal. 242–254, 2016.
F. Li et al., “An Automatic Detection Method of Bird’s Nest on Transmission Line Tower Based on Faster_RCNN,” IEEE Access, vol. 8, hal. 164214–164221, 2020.
J. Li, D. Yan, K. Luan, Z. Li, dan H. Liang, “Deep Learning-Based Bird’s Nest Detection on Transmission Lines Using UAV Imagery,” Applied Sciences, vol. 10, no. 18, hal. 6147, 2020.
D. J. P. Manajang, S. R. U. A. Sompie, dan A. Jacobus, “Implementasi Framework Tensorflow Object Detection dalam Mengklasifikasi Jenis Kendaraan Bermotor,” Jurnal Teknik Informatika, vol. 15, no. 3, hal. 171–178, 2020.
P. R. Aningtiyas, A. Sumin, dan S. Wirawan, “Pembuatan Aplikasi Deteksi Objek Menggunakan TensorFlow Object Detection API dengan Memanfaatkan SSD MobileNet V2 Sebagai Model Pra - Terlatih,” Jurnal Ilmiah Komputasi, vol. 19, no. 3, hal. 421–430, 2020.
K. Hu, F. Lu, M. Lu, Z. Deng, dan Y. Liu, “A Marine Object Detection Algorithm Based on SSD and Feature Enhancement,” Complexity, vol. 2020, 2020.
W. Liu et al., “SSD: Single Shot MultiBox Detector,” in Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part I, 2016, vol. 9905, hal. 21–37.
M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, dan L. C. Chen, “MobileNetV2: Inverted Residuals and Linear Bottlenecks,” Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2019.
W. Wang, Y. Li, T. Zou, X. Wang, J. You, dan Y. Luo, “A Novel Image Classification Approach via Dense-Mobilenet Models,” Mobile Information Systems, vol. 2020, hal. 1–8, 2020.
W. Rahmaniar dan A. Hernawan, “Real-Time Human Detection Using Deep Learning on Embedded Platforms: A Review,” Journal of Robotics and Control (JRC), vol. 2, no. 6, hal. 462–468, 2021.
M. R. Faisal dan D. T. Nugrahedi, Belajar Data Science: Klasifikasi dengan Bahasa Pemrograman R. Banjarbaru: Scripta Cendekia, 2019.
R. Padilla, S. L. Netto, dan E. A. B. Da Silva, “A Survey on Performance Metrics for Object-Detection Algorithms,” in 2020 International Conference on Systems, Signals and Image Processing (IWSSIP), 2020, hal. 237–242.
G.-S. Peng, “Performance and Accuracy Analysis in Object Detection,” California State University at San Marcos, 2019.
J. Hui, “mAP (mean Average Precision) for Object Detection,” jonathan-hui.medium.com, 2018. https://jonathan-hui.medium.com/map-mean-average-precision-for-object-detection-45c121a31173.
Article Metrics
Abstract view(s): 490 time(s)PDF: 413 time(s)
Refbacks
- There are currently no refbacks.