Drone / Unmanned Aerial Vehicle (UAV) Detection is a very safety critical project. It takes in Infrared (IR) video streams and detects drones in it with high accuracy.
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Updated
Jun 27, 2022 - Jupyter Notebook
Drone / Unmanned Aerial Vehicle (UAV) Detection is a very safety critical project. It takes in Infrared (IR) video streams and detects drones in it with high accuracy.
TIB-Net: Drone Detection Network With Tiny Iterative Backbone
Introducing a curated dataset for drone detection and a state-of-the-art YOLOv7 model, enabling real-time and accurate identification of drones in complex environments.
This repository provides a dataset and model for real-time drone detection using YOLOv8, contributing to enhanced security and privacy protection. Join us in advancing drone detection technology for safer environments.
Detection of Drones using Computer Vision Algorithms
Real-Time Detection of Drones with YOLOv3 Deep Learning Algorithm
Një model për ti detektuar dronat nga imazhet, videot dhe regjistrimet në kohë reale duke përdorur YOLOv3 dhe PyTorch.
Real-Time Detection of Drones with YOLOv3 Deep Learning Algorithm
UAV Object Detection using transfer learning with YOLOv5x
Drone Detection Project made with Detectron2
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.
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