Uav Image Dataset, The reference The UAV-PDD2023 dataset consists of pavement distress images captured by unmanned aerial vehicles (UAVs) in China with more than 11,150 instances under two different weather The HIT-UAV contains 2898 infrared thermal images extracted from 43470 frames, captured by UAV from different scenes (schools, parking lots, roads, ️: UAV Images 🗺️: Reference Maps 🌟: Dataset Features Large scale: 18,000 full-resolution DJI images taken from 15 different cities across China. What have you used this dataset for? How would you describe this dataset? Our dataset targets the gap by providing human and computer vision foundation-model co-annotated images from an uncrewed aerial vehicle (UAV) perspective from Finnish boreal forest Datasets Standard Dataset MMA-UAV：A multimodal low altitude anti-UAV dataset based on infrared/visible light images, active radar, and passive radio frequency signals. The reference The dataset comprises 288 video sequences and 10,209 static images covering various scenarios from 14 different cities, providing a comprehensive evaluation platform for assessing UAV The redundancy in background and object sparsity require optimizing algorithms for better efficiency and accuracy in UAV remote sensing image detection. This dataset . Figure 1. This work presents a Image stitching is a critical preprocessing step in unmanned aerial vehicle (UAV)-based remote sensing, however, it remains challenging for conventional methods due to large parallax, high Dataset and codes of paper "Growing status observation for individual oil palm trees using Unmanned Aerial Vehicle (UAV) images" - rs-dl/MOPAD Experimental results on both a proprietary UAV remote sensing dataset and publicly available datasets demonstrate that the proposed reconstruction approach excels over leading NeRF The UAV-PDD2023 dataset consists of pavement distress images captured by unmanned aerial vehicles (UAVs) in China with more than 11,150 instances under two different weather The HIT-UAV contains 2898 infrared thermal images extracted from 43470 frames, captured by UAV from different scenes (schools, parking lots, roads, ️: UAV Images 🗺️: Reference Maps 🌟: Dataset Features Large scale: 18,000 full-resolution DJI images taken from 15 different cities across China. To the best of our knowledge, MMFW-UAV is the first one-to-one multi-modal image dataset for fixed-wing UAVs with high-quality annotations. 06 ha paddy field with three different phonological cycles of the crop (vegetative, reproductive, and ripening) in the Development of emerging drone-based fire monitoring systems has been inhibited by a lack of well-annotated, high quality aerial wildfire datasets, In this paper, we present RescueNet, a meticulously curated high-resolution post-disaster dataset that includes detailed classification and semantic segmentation annotations. Foreground proportion distribution on Our method demonstrates excellent potential for individual oil palm tree detection and observation of growing status from UAV images, leading to In this study UAV image dataset contains 336 multispectral images from a 0. It has several features: Semantic The C2A (Combination to Application) Dataset is a resource designed to advance human detection in disaster scenarios using UAV imagery. How would you describe this dataset? Well-documented 0 Well-maintained 0 Clean data 0 Original 0 High-quality notebooks 0 Other text_snippet For drone detection tasks, a dataset of high-resolution images is especially valuable, as it provides more contextual information for DCNNs, enabling more accurate drone detection. The UAVid dataset is an UAV video dataset for semantic segmentation task focusing on urban scenes.
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