… DeepCounter uses an embedded computer with a GPU as … through deep learning, and
detects garbage bags loaded in a … , “Deepcounter: Using deep learning to count garbage bags,” …

… counted the number of collected garbage bags from garbage … garbage collection sensing
system, DeepCounter [12]. This is an automotive sensing system where deep learning …

… of monitoring waste in the river and can calculate waste using video. This research uses
340 … et al. in “DeepCounter: Using Deep Learning to Count Garbage Bags”. The researchers …

… uses detection-tracking-counting (DTC) algorithm for counting garbage bags thrown into the
back of garbage … household waste is using the number of garbage bags detected by vehicle-…

… [24] proposed a DeepCounter, as based on the image … the number of collected garbage bags
from the images taken by … a detecting, tracking, and counting algorithm was developed and …

… A complete framework for developing the automated defect detection system with a deep
learning algorithm is proposed in this research. The input data, objects detector, and output …

… Garbage counting is a basic application scenario in target detection [4], and many machine
learning methods have been proposed in this field to solve target detection and counting …

… is exploited to count the garbage bags [12]. In [13], the transfer learning approach combines
… Oya, “DeepCounter: Using deep learning to count garbage bags,” Proc. - 2018 IEEE 24th Int…

… used deep learning technology in the research of garbage … a garbage classification data
set and established a garbage … YOLOv5 uses binary cross entropy loss to calculate the loss of …

… garbage bags, and the average accuracy of garbage bag recognition was 62%. Liu et al. [9]
proposed a garbage … In recent years, many scholars have applied deep learning to garbage …