TIB-Net: Drone Detection Network With Tiny Iterative Backbone
-
Updated
Sep 11, 2020 - Python
TIB-Net: Drone Detection Network With Tiny Iterative Backbone
This project provides a trained YOLOv8 model for detecting both multirotor and fixed-wing UAVs (drones) in visual data. Includes example usage and documentation.
Një model për ti detektuar dronat nga imazhet, videot dhe regjistrimet në kohë reale duke përdorur YOLOv3 dhe PyTorch.
AIegis Beam (formerly known as Mini C-RAM (Counter Rocket, Artillery & Mortar)), the real-time drone detection/tracking system (university capstone project).
From dataset https://universe.roboflow.com/drone-detection-pexej/drone-detection-data-set-yolov7/dataset/1 a model is obtained, based on yolov10 to detect drones in images. Predictions from several models are used in cascade to obtain the optimal result.
A neural network that recognizes flying objects, classifies them and plots their trajectory and the vector of their intended movement.
Drone Detection Project made with Detectron2
Add a description, image, and links to the drone-detection topic page so that developers can more easily learn about it.
To associate your repository with the drone-detection topic, visit your repo's landing page and select "manage topics."