(2020), data augmentation can improve the performance of object detection models with an imbalanced dataset. This research has augmented the data to address the class imbalance issue. We have considered two scenarios of data augmentation in this study, i.e., augmenting the entire training dataset...
The dataset is downloaded from Kaggle and Signal handling gathering of the Aarhus. Four plants, common wheat and sugar wheat, common weeds, cleavers with a totality of 942 pictures have been successfully classified. Finally, around 92% precision with a 5.5% rise in current classifications is ...
摘要: 一、CNN基础 (1)CNN在CV方面的应用 image classification(图像识别)、object detection(目标检测)、neural style transfer(风格迁移)等。 (2) CNN 卷积层、池化层(maxpooling最常见)、全连接层 (3) Lenet-5 阅读全文 posted @ 2018-07-25 16:36 smartweed 阅读(627) 评论(0) 推荐(0) 编辑 1...
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The publicly available plant instance segmentation dataset mentioned in Section 2.2.2 and the COCO128 dataset discussed in Section 3.1.1 of this paper can be accessed and downloaded via the Kaggle platform through the following link: https://www.kaggle.com/datasets/leozhuxi/weed-seg. ...
In terms of data collection, researchers will use existing general data sets, such as the COCO data set, the ImageNet dataset, and the Kaggle competition dataset, which are frequently used. However, in actual weed management, neural network model recognition is required to have high accuracy, ...