算法评估方法、装置、设备及存储介质

By annotating the target objects in images in dense scenes as a whole or individually, and combining the overlap calculation, detection and matching results are generated, which solves the problem of inaccurate algorithm evaluation results in dense scenes and improves the accuracy of algorithm evaluation.

CN116071639BActive Publication Date: 2026-07-17CHENGDU INTELLIFUSION TECH CO LTD +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHENGDU INTELLIFUSION TECH CO LTD
Filing Date
2022-12-23
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In dense scenarios, existing algorithm evaluation methods suffer from inaccurate or incorrect statistical results due to overlapping and intersecting targets, which affects the accuracy of the algorithm evaluation results.

Method used

By labeling overlapping target objects in the image to be processed as a whole or labeling individual non-overlapping target objects, a group of labeled objects is established. A preset recognition algorithm is used to identify detection boxes, the overlap between the labeled boxes and the detection boxes is calculated, the detection matching result is determined, and finally the algorithm evaluation result is generated.

Benefits of technology

It improves the accuracy of algorithm evaluation results, reduces the difference between evaluation data and actual data, and enhances the accuracy of matching detection boxes and annotation boxes.

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Abstract

本发明涉及图像处理领域,尤其涉及一种算法评估方法、装置、计算机设备及存储介质,其方法包括:获取标注对象组及检测对象组;逐一计算所述检测对象组中的各个检测框和所述标注对象组中的各个标注框之间的重合度;基于所述检测对象组中的各个检测框和所述标注对象组中的各个标注框之间的重合度,确定所述标注对象组和所述检测对象组之间的检测匹配结果;根据所述检测匹配结果,生成针对所述检测对象组的算法评价结果。本发明通过检测对象组与标注对象组之间的匹配结果,并生成检测对象组的算法评价结果,使得检测框能被准确地归纳入对应的标注框中,有效地减少了评价数据与实际数据的差异性。
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