dilsadunsal/HRPlanesv2-Data-Set
This repo contains the details of the HRPlanesv2, a high-resolution satellite imagery dataset for aircraft detection, as well as the benchmark results of experiments using YOLOv4, YOLOv5, and YOLOv8, along with the associated weight files.
This project provides a comprehensive dataset of high-resolution satellite imagery specifically for detecting aircraft, along with pre-trained models that can identify planes in these images. It takes in satellite images, processes them, and identifies the locations of aircraft. This is useful for researchers and analysts working on satellite image analysis and object detection.
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Use this if you are a researcher or academic working on developing or evaluating algorithms for aircraft detection in high-resolution satellite imagery and need a well-curated dataset and benchmark results.
Not ideal if you need a dataset for commercial applications, as the images are restricted to academic use, or if you are looking to detect objects other than aircraft.
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Sep 23, 2023
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