DmitriyKras/Small-objects-segmentation
This repository contains project about segmentation small flying objects with U-Net, PSP-Net and FCN
This project helps operations engineers or security personnel accurately identify and locate small flying objects like drones or airplanes within surveillance footage. It takes in video frames or images and outputs precise outlines (segmentation masks) or bounding boxes around these objects. This is useful for monitoring airspace, detecting unauthorized drones, or tracking aerial vehicles in complex environments.
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Use this if you need to precisely segment and track small flying objects in images or video, especially for security, surveillance, or airspace management applications.
Not ideal if you are looking for a pre-trained, ready-to-deploy solution for object detection in general, as this project focuses on providing model implementations for specific training.
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Python
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Last pushed
Mar 26, 2023
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