Remote Sensing & Aerial Datasets for Advanced AI Models

Description: The "Remote Sensing Changes Detection Dataset" is a pivotal resource for the remote sensing field, featuring internet-collected images at a uniform resolution of 1024 x 1024 pixels. This dataset is specifically annotated for mask segmentation, distinguishing between front-phase and back-phase building labels, to facilitate the detection of changes in urban and rural landscapes.

Description: The "Remote Sensing Object Segmentation Dataset" is a key asset for the remote sensing field, combining images from the DOTA open dataset and additional internet sources. With resolutions ranging from 451 × 839 to 6573 × 3727 pixels for standard images and up to 25574 × 15342 pixels for uncut large images, this dataset includes diverse categories like playgrounds, vehicles, and sports courts, all annotated for instance and semantic segmentation.

Description: The "Remote Sensing Scenes Segmentation Dataset" is a specialized collection for the remote sensing domain, comprised of high-resolution satellite images sourced from the internet, with dimensions ranging from 10752 x 10240 to 12470 x 13650 pixels. This dataset is designed for semantic segmentation, with annotations covering various natural and man-made features such as buildings, forests, water bodies, roads, and farmland.

Description: The "Satellite Components Segmentation Dataset" caters to the manufacturing sector, particularly in aerospace and satellite production, featuring internet-collected images with resolutions ranging from 960 x 720 to 1537 x 1018 pixels. This dataset is aimed at semantic segmentation and polygon annotations, covering a wide array of satellite components such as sailboards, antennas, nozzles, and more, to support precision manufacturing and assembly processes.

Description: The "Satellite Ships Segmentation Dataset" is a specialized collection for remote sensing applications, derived from high-resolution satellite imagery with dimensions ranging from 14,722 x 20,949 to 38,133 x 14,604 pixels. This dataset is focused on semantic segmentation, featuring annotations for ships including Automatic Identification System (AIS) information and satellite icon notes, facilitating detailed maritime monitoring and analysis.

Description: The "Satellite Vehicle Bounding Box Dataset" is designed for applications in visual entertainment and autonomous driving, consisting of satellite imagery with pixel resolutions exceeding 5000 x 6000. For annotation purposes, these high-resolution images are segmented into uniform sizes. This dataset specializes in the use of bounding boxes to outline vehicle contours within infrared imagery, focusing solely on the broad category of "CAR" for annotation.

Description: The "UAV Aerial Photography Multi-Object Dataset" is designed for smart transportation applications, featuring a collection of internet-collected UAV (Unmanned Aerial Vehicle) aerial photography images with a resolution of 1920 x 1080 pixels. This dataset predominantly covers large-scale scenes such as parking lots and highways, with each image containing over 200 vehicles. Every object within these images is meticulously annotated with a bounding box that aligns with the object's orientation, ensuring precise vehicle detection and tracking.