Haoning724/obbstacking
Repo for the OBBStacking: An Ensemble Method for Remote Sensing Object Detection
This project helps remote sensing analysts combine the results from multiple object detection models to get more accurate and reliable detections of features in satellite or aerial images. You input the detection results (bounding boxes) from different models on the same images, and it outputs a single, refined set of object detections. This is useful for scientists, urban planners, or defense analysts who rely on precise object identification from high-resolution imagery.
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Use this if you are using multiple object detection models on remote sensing imagery and want to improve the accuracy of their combined outputs, especially for oriented objects.
Not ideal if you only have one object detection model, or if your objects are not oriented (axis-aligned bounding boxes).
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19
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1
Language
Python
License
MIT
Category
Last pushed
May 16, 2023
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