建筑红外缺陷infrared

建筑缺陷--红外--crack、drop、hollow、leakage--infrared.v4i.yolov8 是一个基于红外图像的目标检测数据集，采用 YOLOv8 框架进行训练与推理，适用于低光照、夜间或恶劣天气条件下的目标识别与定位任务，广泛应用于安防监控、自动驾驶及工业检测等领域。

The dataset Building Defects -- Infrared -- crack, drop, hollow, leakage -- infrared.v4i.yolov8 is an object detection dataset based on infrared images. It adopts the YOLOv8 framework for training and inference, and is suitable for object recognition and localization tasks under low-light, nighttime or harsh weather conditions. It is widely used in fields such as security monitoring, autonomous driving and industrial inspection.

搜集汇总

背景与挑战

背景概述

该数据集是一个基于红外图像的目标检测数据集，专门用于识别建筑缺陷，如裂缝、脱落、空鼓和渗漏。它采用YOLOv8框架，适用于低光照或恶劣天气条件下的目标定位，广泛应用于安防监控和工业检测等领域。