BurnedAreaUAV Dataset (v1)
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General Description A manually annotated dataset, consisting of the video frames and segmentation masks, for segmentation of forest fire burned area based on a video captured by a UAV. Data Collection The BurnedAreaUAV dataset derives from a video captured at the coordinates' latitude 41° 23’ 37.56" and longitude -7° 37’ 0.32", at Torre do Pinhão, in northern Portugal in an area characterized by shrubby to herbaceous vegetation. The video was captured during the evolution of a prescribed fire using a DJI Phantom 4 PRO UAV equipped with an FC6310S RGB camera. Video Overview The video captures a prescribed fire where the burned area increases progressively. At the beginning of the sequence, a significant portion of the UAV’s sensor field of view is already burned, and the burned area expands as time goes by. The video was collected by an RGB sensor installed on a drone while keeping the drone in a nearly static stationary stance during the data collection duration. The video has about 15 minutes and a frame rate of 25 frames per second, amounting to 22500 images. It was collected by an RGB sensor installed on a drone while keeping the drone in a nearly static stationary stance during the data collection duration. Throughout this period, the progression of the burned area is observed. The original video has a resolution of 720×1280 and is stored in H.264 (or MPEG-4 Part 10) format. No audio signal was collected. Manual Annotation The annotation was done every 100 frames, which corresponds to a sampling period of 4 seconds. Two classes are considered: burned_area and unburned_area. This annotation has been done for the entire length of the video. The training set consists of 226 frame-image pairs and the test set of 23. The training and test annotations are offset by 50 frames. We plan to expand this dataset in the future. File Organization (BurnedAreaUAV_v1.rar) The data is available in PNG, JSON (Labelme format), and WKT (segmentation masks only). The raw video data is also made available. Please ignore BurnedAreaUAV_dataset.rar file and consider BurnedAreaUAV_dataset_v1.rar only. MP4_video (folder) -- original_prescribed_burn_video.mp4 PNG (folder) train (folder) frames (folder) -- frame_000000.png (raster image) -- frame_000100.png -- frame_000200.png ... msks (folder) -- mask_000000.png -- mask_000100.png -- mask_000200.png ... test (folder) frames (folder) -- frame_020250.png -- frame_020350.png -- frame_020350.png ... msks (folder) -- mask_020250.png -- mask_020350.png -- mask_020350.png ... JSON (folder) -- train_valid_json (folder) -- frame_000000.json (Labelme format) -- frame_000100.json -- frame_000200.json -- frame_000300.json ... -- test_json (folder) -- frame_020250.json -- frame_020350.json -- frame_020450.json ... WKT_files (folder) -- train_valid.wkt (list of masks polygons) -- test.wkt Acknowledgements This dataset results from activities developed in the context of partially projects funded by FCT - Fundação para a Ciência e a Tecnologia, I.P., through projects MIT-EXPL/ACC/0057/2021 and UIDB/04524/2020, and under the Scientific Employment Stimulus - Institutional Call - CEECINST/00051/2018. For additional information, please visit our GitHub repository with related work and the ESS DataLab website.
数据集概述：本数据集为人工标注数据集，包含视频帧与分割掩码，用于基于无人机（Unmanned Aerial Vehicle, UAV）拍摄的视频开展森林火灾过火区域分割任务。 数据采集：BurnedAreaUAV数据集源自葡萄牙北部托雷杜皮尼亚奥（Torre do Pinhão）某区域拍摄的视频，该区域坐标为北纬41°23′37.56″、西经7°37′0.32″，植被类型以灌丛至草本植物为主。该视频拍摄于一次计划性火烧过程中，使用搭载FC6310S RGB相机的DJI Phantom 4 PRO无人机采集。 视频概况：该视频记录了计划性火烧过程中过火区域逐步扩张的过程。序列初始阶段，无人机传感器视场的较大区域已处于过火状态，过火区域随时间推移持续扩大。数据采集期间，无人机保持近乎静止的悬停姿态，由搭载的RGB传感器完成视频录制。视频时长约15分钟，帧率为25帧/秒，总计包含22500张图像。原始视频分辨率为720×1280，存储格式为H.264（即MPEG-4 Part 10），未采集音频信号。 人工标注：标注工作按每100帧进行一次采样，对应采样间隔为4秒。数据集包含两类：过火区域（burned_area）与未过火区域（unburned_area），标注覆盖视频全时长。训练集包含226对帧-图像样本，测试集包含23对样本，训练集与测试集的标注偏移量为50帧。本团队计划未来对该数据集进行扩展。 文件组织结构（BurnedAreaUAV_v1.rar）：数据集提供PNG、JSON（Labelme格式）与WKT（仅分割掩码）格式的数据，同时提供原始视频数据。请注意忽略BurnedAreaUAV_dataset.rar文件，仅使用BurnedAreaUAV_dataset_v1.rar。 文件夹结构如下： MP4_video（文件夹） -- original_prescribed_burn_video.mp4 PNG（文件夹） train（文件夹） frames（文件夹） -- frame_000000.png（栅格图像）、frame_000100.png、frame_000200.png…… msks（文件夹） -- mask_000000.png、mask_000100.png、mask_000200.png…… test（文件夹） frames（文件夹） -- frame_020250.png、frame_020350.png、frame_020350.png…… msks（文件夹） -- mask_020250.png、mask_020350.png、mask_020350.png…… JSON（文件夹） train_valid_json（文件夹） -- frame_000000.json（Labelme格式）、frame_000100.json、frame_000200.json、frame_000300.json…… test_json（文件夹） -- frame_020250.json、frame_020350.json、frame_020450.json…… WKT_files（文件夹） -- train_valid.wkt（掩码多边形列表）、test.wkt 致谢：本数据集的研发工作依托部分由葡萄牙科学技术基金会（Fundação para a Ciência e a Tecnologia, I.P., FCT）资助的项目完成，包括项目MIT-EXPL/ACC/0057/2021与UIDB/04524/2020，以及“科学就业激励——机构招募”项目CEECINST/00051/2018。如需获取更多信息，请访问本团队相关工作的GitHub仓库与ESS DataLab官网。
