Aerial Semantic Segmentation Drone Dataset(3.86 GB) 可通过 kaggle API下载: kaggle datasets download -d bulentsiyah/semantic-drone-dataset 3. 航拍图像 AerialImage(with a size of 256 to 256.) 8.75 GB Kaggle API: kaggle datasets download -d mengyangyang/aerialimage 4. 针对yolo模型的车辆的航空图像...
Aerial Semantic Segmentation Drone Dataset(3.86 GB) 可通过 kaggle API下载: kaggle datasets download -d bulentsiyah/semantic-drone-dataset 3. 航拍图像 AerialImage(with a size of 256 to 256.) 8.75 GB Kaggle API: kaggle datasets download -d mengyangyang/aerialimage 4. 针对yolo模型的车辆的航空图像...
Different from other relevant datasets, TTPLA supports evaluation of instance segmentation, besides detection and semantic segmentation. To build a baseline for detection and segmentation tasks on TTPLA, we report the performance of several state-of-the-art deep learning models on our dataset. TTPLA...
To encourage research in computer vision for agriculture, we present Agriculture-Vision: a large-scale aerial farmland image dataset for semantic segmentation of agricultural patterns. We collected 94,986 high-quality aerial images from 3,432 farmlands across the US, where each image consists of RGB...
The image is delineation based on Bing imagery using ResNet34 architecture. AIRS (Aerial Imagery for Roof Segmentation) (Chen 2019) AIRS is a large-scale dataset towards automtic mapping of buildings. It aims at benchmarking the algorithms of roof segmentation from very-high-resolution aerial imag...
oemdataset.py 修BUG 3天前 setup.py update dockerFile and req 9个月前 README AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation Introduction Data preparation Get Started (singularity/non-singularity) Singularity Option Non-singularity Option Acknowledgement Citation AerialFor...
Cross-dataset experiments and the ablation study are conducted for the three different datasets: the Inria aerial image labeling dataset, the Massachusetts building dataset, and the WHU East Asia dataset. Compared to the performance of the segmentation network without the DATA scheme, the proposed ...
Besides the importance of a new trajectory dataset that allows the development of new behavioural models and the validation of existing ones, this paper also describes the application of state-of-the-art algorithms and methods that significantly minimize the resources needed for such data collection....
In this paper, we compare and contrast the performances of baseline methods for image classification, semantic segmentation, and visual question answering on our dataset. 展开 关键词: Image segmentation Semantics Task analysis Satellites Computer vision Image resolution Buildings ...
Defect detection precision and recall of the proposed method are 0.91 and 0.96 using a standard insulator dataset, and insulator defects under various conditions can be successfully detected. Experimental results demonstrate that this method meets the robustness and accuracy requirements for insulator ...