UIBK Avalanche Dataset

UIBK Avalanche Dataset Dataset of 4090 labelled avalanche photographs. Each photograph in the dataset was assigned to one of four categories: glide, loose, slab, or none. These labels refer to the different avalanche release mechanisms: glide, loose-snow, and slab, with none indicating the absence of avalanches. In addition, avalanche experts outlined each visible avalanche with a polygonal bounding box and assigned it a single label of glide, loose, or slab. The photographs were taken in the field in the winters of 2000/2001 - 2021/2022 and each image has the date and approximate location at which it was taken in the image name. Most photographs in the dataset were taken from the ground: additional images from low-flying helicopters were included only if the annotators deemed that they could feasibly have been taken by webcams. Accompanying code for training ResNet, VGG, and YOLOv3 models to detect avalanches is available at github.com/j-f-ox/avalanche-detection Folders annotations # Polygonal and rectangular bounding boxes for each avalanche image glide loose slab images # The .jpg images sorted by overall image label glide loose none slab test.txt # Test images train.txt # Training images Label Distribution The images folder contains 716 glide, 416 loose, and 1887 slab avalanche photographs and a further 1071 "none" images without visible avalanche regions The dataset contains a total of 2489 annotated glide avalanches, 1827 loose-snow avalanches, and 2912 slab avalanchesUIBK雪崩数据集：该数据集包含4090张带标注的雪崩照片。数据集中的每张照片均被划分为四个类别之一：glide（冰川雪崩）、loose（松散雪雪崩）、slab（板状雪崩）以及none（无雪崩）。上述标签对应不同的雪崩触发机制：冰川雪崩、松散雪雪崩与板状雪崩，其中none标签代表无可见雪崩。此外，雪崩专家会使用多边形边界框对每张可见雪崩进行标注，并为其分配glide、loose或slab中的单一标签。 该数据集的照片拍摄于2000/2001年至2021/2022年冬季的野外场景，每张照片的文件名中均包含拍摄日期与大致拍摄位置。数据集中绝大多数照片为地面拍摄，仅当标注人员判定该照片可通过网络摄像头拍摄时，才会纳入低空直升机拍摄的额外照片。 用于训练ResNet、VGG与YOLOv3模型以实现雪崩检测的配套代码可在github.com/j-f-ox/avalanche-detection获取。 数据集文件夹结构如下： - annotations：包含每张雪崩图像的多边形与矩形边界框标注 - images：存储按整体图像标签分类的.jpg格式图片，涵盖glide、loose、none、slab四类 - test.txt：测试集图像列表 - train.txt：训练集图像列表 标签分布情况如下：images文件夹中包含716张冰川雪崩照片、416张松散雪雪崩照片、1887张板状雪崩照片，另有1071张无可见雪崩区域的"none"类图片。整个数据集总计包含2489个标注的冰川雪崩、1827个松散雪雪崩与2912个板状雪崩。