A simplified network topology for fruit detection, counting and mobile-phone deployment.
A simplified network topology for fruit detection, counting and mobile-phone deployment.
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DOI：
10.1371/journal.pone.0292600
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发表时间：
2023
期刊：
影响因子：
3.7
通讯作者：
中科院分区：
文献类型：
--
作者：
复杂的网络拓扑结构、部署的不友好性、计算成本和大参数，包括自然变化的环境是水果检测所面临的挑战。因此，一个简化的网络拓扑结构的水果检测，跟踪和计数设计，以解决这些问题。该网络采用Conv、Maxpool、特征拼接和SPPF等常用网络作为新的骨干网络，采用改进的解耦头YOLOv 8作为头网络。同时，在包含草莓、枣和樱桃果实的图像数据集上进行了验证。与YOLO主流版本相比，简化版网络的参数分别比YOLOv 5 n、YOLOv 7-tiny和YOLOv 8 n低32.6%、127%和50.0%。使用测试集测试mAP@50%的结果表明，简化网络的82.4%分别比YOLOv 5 n的82.0%，YOLOv 7-tiny的82.6%和YOLOv 8 n的82.2%高出0.4%，-0.2%和0.2%。此外，Simplified网络比YOLOv 5 n，YOLOv 7-tiny和YOLOv 8 n分别快12.8%，17.8%和11.8%，包括在跟踪，计数和移动电话部署过程中的表现。因此，简化的网络是强大的，快速，准确，易于理解，参数少，可部署的友好。
The complex network topology, deployment unfriendliness, computation cost, and large parameters, including the natural changeable environment are challenges faced by fruit detection. Thus, a Simplified network topology for fruit detection, tracking and counting was designed to solve these problems. The network used common networks of Conv, Maxpool, feature concatenation and SPPF as new backbone and a modified decoupled head of YOLOv8 as head network. At the same time, it was validated on a dataset of images encompassing strawberry, jujube, and cherry fruits. Having compared to YOLO-mainstream variants, the params of Simplified network is 32.6%, 127%, and 50.0% lower than YOLOv5n, YOLOv7-tiny, and YOLOv8n, respectively. The results of mAP@50% tested using test-set show that the 82.4% of Simplified network is 0.4%, -0.2%, and 0.2% respectively more accurate than 82.0% of YOLOv5n, 82.6% of YOLOv7-tiny, and 82.2% of YOLOv8n. Furthermore, the Simplified network is 12.8%, 17.8%, and 11.8% respectively faster than YOLOv5n, YOLOv7-tiny, and YOLOv8n, including outperforming in tracking, counting, and mobile-phone deployment process. Hence, the Simplified network is robust, fast, accurate, easy-to-understand, fewer in parameters and deployable friendly.
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DOI：
10.1109/tpami.2022.3180392
发表时间：
2023-03-01
影响因子：
23.6
作者：
Li, Xiang;Lv, Chengqi;Yang, Jian
通讯作者：
Yang, Jian
影响因子：
3.6
作者：
Qiao, Yichen;Hu, Yaohua;Guo, Jiapan
通讯作者：
Guo, Jiapan
影响因子：
3.9
作者：
Liu, Guoxu;Nouaze, Joseph Christian;Kim, Jae Ho
通讯作者：
Kim, Jae Ho
影响因子：
5.6
作者：
通讯作者：
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影响因子：
3.9
作者：
Lawal, Olarewaju M.
通讯作者：
Lawal, Olarewaju M.