iSAID: Large-scale Dataset for Object Detection in Aerial Images(IIAI & Wuhan University, Dec 2019) 15 categories from plane to bridge, 188k instances, object instances and segmentation masks (MS COCO format), Google Earth & JL-1 image chips, Faster-RCNN baseline model (MXNet),devkit, Aca...
{2}\)) is completely beyond the spatial extent of the satellite imagery. Each band is normalized to have mean 0 and standard deviation 1 across our entire dataset. The raster of wealth in Nigeria in Fig.5was generated by exporting non-overlapping tiles from Google Earth Engine, following ...
Download the dataset from https://zenodo.org/records/10939100 Dataset paper published in arXiv:2404.05180This dataset comprises a total of 13,703 samples of multispectral satellite images captured across continents from 2021 to 2023 in various solar panel farms. The detailed metadata for this dataset...
The “Whales from space dataset” is available on the NERC UK Polar Data Centre repository and separated in two sub-datasets: a dataset that contains the whale annotations (box and point shapefiles with associated csv files) named “Whales from space dataset: Box and point shapefiles”16; and...
The dataset comprises 5,175 pairs of 512 脳 512 image tiles, covering 573.17 km2. It contains 170,015 buildings, with 84.8% of the buildings in urban areas and 15.2% in rural areas. The usability of the GF-7 Building dataset has been proved with seven convolutional neural networks, all ...
Table 1. Single stream vs multiple streams decode performance on a Quadro GV 100 for Sentinel2 Dataset Using 10 CUDA streams reduces the total decode time of the entire dataset by about 75% on a Quadro GV100 GPU. For more information, see theAccelerating Geospatial ...
It includes a pair of multispectral and panchromatic images, a table of ground control points, and a DEM. Download the tutorial dataset and save it to C:\orthomapping_satellite_tutorial. In ArcGIS Pro, create a project using the Map template and sign in to your ArcGIS Online account if ...
in_raster:The input raster dataset to classify. The input can be a single raster or multiple rasters in a mosaic dataset, an image service, or a folder of images. out_feature_class: The output feature class that will contain geometries surrounding the objects from the input feature class, ...
I believe there was a problem with this dataset, which led to many complaints that the competition was ruined. Kaggle - Draper - place images in order of time https://www.kaggle.com/c/draper-satellite-image-chronology/data Rating - hard. Not many useful kernels. ...
1. Download SpaceNet dataset Download satellite images and ground-truth building footprints (of SpaceNet AOI-1 Rio). Assuming you already configuredAWS CLIto download the data from AWS S3. $ cd $PROJ_DIR/data # Download processed 200mx200m tiles of AOI 1 (3.4 GB) with associated building fo...