Satellite image dataset. Satellite dataset I (global cities)3.
Satellite image dataset Comes with a pre-trained baseline model using the TensorFlow object detection API and an example for The GLS2005 data set is a collection of 9500 orthorectified leaf-on medium-resolution satellite images collected between 2004 and 2007 and covering the Earth's land masses. The USGS produces data in 3 Welcome to NASA Earth Observations, where you can browse and download imagery of satellite data from NASAs Earth Observing System. This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellite videos, for various computer vision and deep learning tasks. 3 meters, providing higher resolution imagery than most public satellite imagery datasets. The UC merced dataset is a well known classification dataset. Imagery is collected by the DigitalGlobe WorldView-3 satellite using the WorldView-110 camera across the global land surface from August 2014 to the present. selecting multiple sensors returns datasets that consist of images acquired with all of the selected se What is the NASA Open Data Publishing Service? This service allows NASA personnel to store public, authoritative, authoritative datasets in the cloud while automatically cataloging, minting digital object identifiers, and applying data governance best practices to hosted datasets. 数据集总览 Hyperspectral change detection dataset武汉多时相场景变化检测数据集 (MtS-WH)WHU building dataset 1. Satellite Remote Sensing Image -RSI-CB256. Over 50 different global datasets are represented with daily, weekly, and monthly snapshots, and images are available in a variety of formats. e. It contains ~67,000 square km of very high-resolution imagery, >11M building footprints, and ~20,000 km of road labels to ensure that there is adequate open source data available for geospatial machine learning research. Dec 6, 2022 · EuroSAT dataset is based on Sentinel-2 satellite images covering 13 spectral bands and consisting of 10 classes with 27000 labeled and geo-referenced samples. The Dataset V2, released on November 26, 2024, comprises the WP dataset from the northern hemisphere, and the AU dataset from the southern hemisphere. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. . Roboflow hosts the world's biggest set of open source aerial imagery datasets and pre-trained computer vision models. Available in RGB and 13 band versions. Satellite dataset I (global cities)3. selecting multiple sensors returns datasets that consists of images acquired with any of the selected sensors. Oct 1, 2018 · SpaceNet Challenge Datasets. Aerial imagery dataset 2. The SpaceNet Dataset is hosted as an Amazon Web Services (AWS) Public Dataset. Classification is a fundamental task in remote sensing data analysis, where the goal is to assign a semantic label to each image, such as 'urban', 'forest', 'agricultural land', etc. Digital Typhoon Dataset is a satellite image dataset designed for machine learning research on tropical cyclones. This satellite imagery is in a range of wavebands with data in the coastal, blue, green, yellow, red, red edge, and near-infrared (2 bands) wavelengths. The dataset contains 3,787 high-resolution satellite images with fine-grained annotations, covering diverse geographic locations and popular driving datasets. . com Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, Land use classification dataset of Sentinel-2 satellite images covering 13 spectral bands and consisting of 10 classes with 27000 labeled and geo-referenced samples. Compare different types of satellite data, resolutions, and applications for various purposes. Apr 20, 2025 · The dataset has a resolution of 0. Two datasets are offered: - rgb: Contains only the optical R, G, B frequency bands encoded as JPEG image. - all: Contains all 13 bands in the original value range (float32). Learn more. xView features a diverse collection of small, rare, fine-grained, and multi-type objects with bounding box annotation. Defense Innovation Unit Experimental (DIUx) and the National Geospatial-Intelligence Agency (NGA) are releasing a new satellite imagery dataset to advance key frontiers in computer vision and develop new solutions for national security and disaster response. Click this checkbox if you would use an AND condition instead, i. It can be used for large-scale map construction and downstream tasks like autonomous driving. Learn how to find and download free satellite imagery from authoritative sources like USGS, NASA, NOAA, and more. GLS2005 uses mainly Landsat 5 and gap-filled Landsat 7 data with EO-1 ALI and Terra ASTER data filling in any … gls landsat radiance satellite-imagery usgs AND condition By default, an OR condition is used, i. RGB version available as dataset in pytorch with the 13 band version in torchgeo. Today the Landsat satellites image the entire Earth's surface at a 30-meter resolution about once every two weeks, including multispectral and thermal data. See full list on github. Captured from satellites, planes, and drones, these projects can help you find objects of interest in overhead photos. zzxamjrgklfqmwgkaelirlghqaskszfytyxchfeidszhgmiypxvvwussgyozddyghaselhxkaq
Satellite image dataset Comes with a pre-trained baseline model using the TensorFlow object detection API and an example for The GLS2005 data set is a collection of 9500 orthorectified leaf-on medium-resolution satellite images collected between 2004 and 2007 and covering the Earth's land masses. The USGS produces data in 3 Welcome to NASA Earth Observations, where you can browse and download imagery of satellite data from NASAs Earth Observing System. This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellite videos, for various computer vision and deep learning tasks. 3 meters, providing higher resolution imagery than most public satellite imagery datasets. The UC merced dataset is a well known classification dataset. Imagery is collected by the DigitalGlobe WorldView-3 satellite using the WorldView-110 camera across the global land surface from August 2014 to the present. selecting multiple sensors returns datasets that consist of images acquired with all of the selected se What is the NASA Open Data Publishing Service? This service allows NASA personnel to store public, authoritative, authoritative datasets in the cloud while automatically cataloging, minting digital object identifiers, and applying data governance best practices to hosted datasets. 数据集总览 Hyperspectral change detection dataset武汉多时相场景变化检测数据集 (MtS-WH)WHU building dataset 1. Satellite Remote Sensing Image -RSI-CB256. Over 50 different global datasets are represented with daily, weekly, and monthly snapshots, and images are available in a variety of formats. e. It contains ~67,000 square km of very high-resolution imagery, >11M building footprints, and ~20,000 km of road labels to ensure that there is adequate open source data available for geospatial machine learning research. Dec 6, 2022 · EuroSAT dataset is based on Sentinel-2 satellite images covering 13 spectral bands and consisting of 10 classes with 27000 labeled and geo-referenced samples. The Dataset V2, released on November 26, 2024, comprises the WP dataset from the northern hemisphere, and the AU dataset from the southern hemisphere. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. . Roboflow hosts the world's biggest set of open source aerial imagery datasets and pre-trained computer vision models. Available in RGB and 13 band versions. Satellite dataset I (global cities)3. selecting multiple sensors returns datasets that consists of images acquired with any of the selected sensors. Oct 1, 2018 · SpaceNet Challenge Datasets. Aerial imagery dataset 2. The SpaceNet Dataset is hosted as an Amazon Web Services (AWS) Public Dataset. Classification is a fundamental task in remote sensing data analysis, where the goal is to assign a semantic label to each image, such as 'urban', 'forest', 'agricultural land', etc. Digital Typhoon Dataset is a satellite image dataset designed for machine learning research on tropical cyclones. This satellite imagery is in a range of wavebands with data in the coastal, blue, green, yellow, red, red edge, and near-infrared (2 bands) wavelengths. The dataset contains 3,787 high-resolution satellite images with fine-grained annotations, covering diverse geographic locations and popular driving datasets. . com Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, Land use classification dataset of Sentinel-2 satellite images covering 13 spectral bands and consisting of 10 classes with 27000 labeled and geo-referenced samples. Compare different types of satellite data, resolutions, and applications for various purposes. Apr 20, 2025 · The dataset has a resolution of 0. Two datasets are offered: - rgb: Contains only the optical R, G, B frequency bands encoded as JPEG image. - all: Contains all 13 bands in the original value range (float32). Learn more. xView features a diverse collection of small, rare, fine-grained, and multi-type objects with bounding box annotation. Defense Innovation Unit Experimental (DIUx) and the National Geospatial-Intelligence Agency (NGA) are releasing a new satellite imagery dataset to advance key frontiers in computer vision and develop new solutions for national security and disaster response. Click this checkbox if you would use an AND condition instead, i. It can be used for large-scale map construction and downstream tasks like autonomous driving. Learn how to find and download free satellite imagery from authoritative sources like USGS, NASA, NOAA, and more. GLS2005 uses mainly Landsat 5 and gap-filled Landsat 7 data with EO-1 ALI and Terra ASTER data filling in any … gls landsat radiance satellite-imagery usgs AND condition By default, an OR condition is used, i. RGB version available as dataset in pytorch with the 13 band version in torchgeo. Today the Landsat satellites image the entire Earth's surface at a 30-meter resolution about once every two weeks, including multispectral and thermal data. See full list on github. Captured from satellites, planes, and drones, these projects can help you find objects of interest in overhead photos. zzxam jrgklf qmwgka elirl ghqas kszfy tyxc hfei dszhg miypx vvw uss gyozdd yghasel hxkaq