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Satellite Imagery Multi-vehicles Dataset

Satellite Imagery Multi-vehicles Dataset (SIMD), an annotated dataset designed to address the task of multi-sized and multi-class/type vehicle detection in remote sensing images. It is a large-scale dataset for vehicles detection with annotations in three commonly used formats has been presented which consists of 5,000 satellite images of around 45,000 vehicular objects categorized in 15 dedicated classes.


M. Haroon, M. Shahzad and M. M. Fraz, “Multisized Object Detection Using Spaceborne Optical Imagery,” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 3032-3046, 2020, doi: 10.1109/JSTARS.2020.3000317.

More Information : https://github.com/ihians/simd