toelt-llc/FlightScope_Bench
Officiel implementation of the paper "FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery"
This project helps defense analysts, intelligence professionals, or urban planners accurately identify and count aircraft in satellite imagery. You provide satellite images, and it outputs precise locations of airplanes, categorized by their detection algorithm. This is designed for professionals who need to analyze aerial surveillance or monitor air traffic patterns.
No commits in the last 6 months.
Use this if you need to benchmark and compare the performance of various deep learning models for detecting aircraft in high-resolution satellite imagery.
Not ideal if you're looking for a simple, out-of-the-box tool for general object detection that doesn't require deep learning expertise or model comparison.
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Last pushed
Dec 02, 2024
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