虫害图像标注有效度分析数据
收藏浙江省数据知识产权登记平台2023-12-23 更新2024-05-08 收录
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在对虫害进行图像识别模型训练之前,需要首先对于虫害图像标注进行有效度分析,从而为模型训练提供良好参考,也为准确的虫害图像识别提供基础,指导实际田间虫害的防治与管理。基于这些参数,利用以下公式计算参考有效度信息:IF【(ymax-ymin)/(xmax-xmin)】>=1, 1,[0] ,即有效度为1视为可以作为图像识别训练的有效标注,有效度为0视为可以作为图像识别训练的无效标注。从而通过长期数据跟踪与分析,实现对图像标注的实时监测,为图像识别模型提供有效数据支撑,进而指导实际田间虫害的防治与管理。
Before training an image recognition model for pest infestations, validity analysis of pest image annotations must first be performed. This process can provide a reliable reference for model training, lay a foundation for accurate pest image recognition, and guide practical field pest prevention and management. Based on the relevant parameters, the reference validity information is calculated using the following formula: If [(ymax - ymin)/(xmax - xmin)] ≥ 1, the validity score is 1; otherwise, it is 0. An annotation with a validity score of 1 is considered a valid annotation for image recognition training, while an annotation with a validity score of 0 is deemed an invalid annotation for such training. Through long-term data tracking and analysis, real-time monitoring of image annotations can be implemented, which provides effective data support for image recognition models and further guides actual field pest prevention and management.
提供机构:
杭州盈禾嘉田科技有限公司
创建时间:
2023-11-30
搜集汇总
数据集介绍

特点
虫害图像标注有效度分析数据集包含82条记录,每周更新,用于评估虫害图像标注的有效性,为图像识别模型训练提供数据支持。数据集包含图像尺寸、虫害名称、标注框坐标和有效度等关键字段,并通过算法规则判断标注有效性。
以上内容由遇见数据集搜集并总结生成



