数据与计算发展前沿2024，Vol.6Issue(2)：177-193,17.DOI:10.11871/jfdc.issn.2096-742X.2024.02.016
目标检测数据集研究综述
An Overview of Object Detection Datasets
李林 1王家华 1周晨阳 1孔思曼 1孙践知1
作者信息
- 1. 北京工商大学,计算机与人工智能学院,北京 100048
- 折叠
摘要
Abstract
[Application Background]Object detection is one of the basic research issues in computer vi-sion,and the object detection dataset is the basis for evaluating the performance of object detec-tion methods.[Purpose]Analyzing and introducing the datasets generated with the develop-ment of the object detection field can effectively reveal the characteristics,development trends,and main problems faced in object detection research.It can also present the status of object de-tection datasets from the perspective of time and domain,and to some extent,provide reference for researchers to use datasets.[Method]From the perspectives of the general datasets of ob-ject detection and the specific datasets that include multiple application scenarios such as pedes-trian detection,face detection,traffic and road scene object detection,aviation remote sensing detection,and text detection,we focus on the challenges of datasets,list and analyze the most widely used and diverse datasets,provide image examples of different scene datasets,and ana-lyze their main challenges.[Conclusions]While introducing the dataset in the field of object detection,it also reveals the importance of object detection datasets,the challenges and charac-teristics in different scenarios,as well as the main challenges and future development trends in constructing ob-ject detection datasets.关键词
目标检测/数据集/行人检测/人脸检测/计算机视觉Key words
object detection/dataset/pedestrian detection/face detection/computer vision引用本文复制引用
李林,王家华,周晨阳,孔思曼,孙践知..目标检测数据集研究综述[J].数据与计算发展前沿,2024,6(2):177-193,17.
