雪上场馆遗留物体检测数据集

"本数据集是针对雪上场馆雪地赛道中遗留的滑雪板、头盔等物品进行检测的数据集。本数据集主要来源于2022年张家口冬奥赛区，通过标准化的采集协议进行操作。
本数据集的主要内容包括滑雪板、头盔等雪地遗留物体的图像和标注数据。本数据集的意义在于为智能安防等领域的研究提供了重要的数据支持。利用本数据集，研究者可以开发出基于深度学习的滑雪板、头盔等雪地遗留物体检测算法，实现对遗留物体的智能识别和监控。此外，本数据集还可为城市管理、交通规划等领域提供有益的数据支持。数据总量约为7000张，占用空间约为9.5GB。"

This dataset is dedicated to detecting left-behind objects such as skis and helmets on snow tracks within snow sports venues. It was primarily collected from the 2022 Zhangjiakou Winter Olympic Games competition area, adhering to standardized data acquisition protocols. The core content of this dataset comprises image and annotation data for left-behind snow-based objects including skis and helmets. This dataset offers critical data support for research in domains such as intelligent security. With this dataset, researchers can develop deep learning-powered detection algorithms for left-behind snow objects like skis and helmets, enabling intelligent identification and monitoring of such items. Furthermore, this dataset can also provide valuable data backing for fields including urban management and traffic planning. The dataset contains approximately 7,000 images in total, occupying a storage space of around 9.5 GB.

搜集汇总

背景与挑战

背景概述

雪上场馆遗留物体检测数据集是一个针对雪地赛道中遗留物品（如滑雪板、头盔）进行检测的数据集，来源于2022年张家口冬奥赛区，包含约7000张图像和标注数据，总大小为9.57GB。该数据集为智能安防、城市管理等领域的研究提供了重要支持，可用于开发基于深度学习的物体检测算法。