Albumentations on GitHub in Drones and UAVs
Used in 98 public GitHub repositories
Drone, UAV, aerial-robotics, and drone-imagery applications.

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Showing the top 98
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.
1,080 stars152 forks🔥🔥Official Repository for Anti-UAV🔥🔥
765 stars131 forksProject AirSim is Microsoft's evolution of AirSim, an advanced simulation platform for building, training, and testing autonomous systems in high-fidelity virtual environments
690 stars137 forksThis is official repository of our paper "RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification". Codes include a two stage model to achieve drone detection and classification using some FFT/STFT analytical method. The Raw data will be free to use after our paper is accept. Star us!!!!, if you think this is useful♥
402 stars63 forks- 214 stars14 forks
🔥 CVPR 2025 (Nashville TN) - The 4th Anti-UAV Workshop & Challenge 🥉
188 stars22 forksRobotics Knowledge Base. The Wiki for Robot Builders.
178 stars174 forks[AAAI 2025 Oral🚁] Game4Loc: A UAV Geo-Localization Benchmark from Game Data
163 stars19 forksThis is the repository with the baseline code for the "Small Object Detection Challenge for Spotting Birds" at MVA2023.
140 stars19 forksBenchmark for UAV Visual Localization under Low-altitude Multi-view Observation Condition
138 stars14 forksWe win the 1st place in UG2+, a task in CVPR 2024 UAV Tracking and Pose-Estimation Challenge.
112 stars16 forksMulti-class semantic segmentation performed on "Semantic Drone Dataset."
104 stars19 forksMILITARY TANK OBJECT DETECTION AND TRACKING USING UAV
98 stars27 forkstrain the latest YOLOv5 with drone dataset UAVDT
93 stars8 forksSimilarity-Guided Layer-Adaptive Vision Transformer for UAV Tracking (CVPR 2025)
92 stars10 forks[TNNLS'2026] Without Paired Labeled Data: End-to-End Self-Supervised Method for Drone-View Geo-Localization
81 stars8 forksDataset and Codes for the submission paper "YOLOMG: Vision-based Drone-to-Drone Detection with Appearance and Pixel-Level Motion Fusion"
71 stars14 forksSSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images.
61 stars21 forksYOLOv5-ODConvNeXt is an improved version of YOLOv5 for ship detection on drone-captured images.
61 stars15 forksTakuNet: an Energy-Efficient CNN for Real-Time Inference on Embedded UAV systems in Emergency Response Scenarios
55 stars2 forks[WACV 2021] Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection.
54 stars9 forksOfficial code for "Drone-based RGBT Tiny Person Detection".
54 stars4 forksObject-Detection From Drone Surveillance (VisDrone Dataset)
50 stars14 forksThis is an official implement for "HSTforU: Anomaly Detection in Aerial and Ground-based Videos with Hierarchical Spatio-Temporal Transformer for U-net"
42 stars2 forks#25
zsniko/EDNet
Implementation of EDNet: Edge-Optimized Small Target Detection in UAV Imagery (UIC'24)
41 stars6 forksRefDrone: A Challenging Benchmark for Drone Scene Referring Expression Comprehension
41 stars5 forksBearing-UAV: Vision-Only Cross-View Pose Regression for UAV Navigation
40 stars5 forksSOD-YOLO (Small Object Detection YOLO) builds upon the foundational YOLOv8 model to address the unique challenges of detecting small objects in complex backgrounds typical of UAV imagery. This repository contains the code for the model, including the novel enhancements we have introduced.
37 stars4 forksMMOT: The First Challenging Benchmark for Drone-based Multispectral Multi-Object Tracking[NIPS 2025]
36 stars3 forksThe core technology of the international championship team in Track 3 (Multi-UAV Complex Scene Tracking) of the 4th Anti-UAV Challenge at CVPR
36 stars1 forks复现南京理工大学一篇论文:A Lightweight Anti-Unmanned Aerial Vehicle Detection Method Based on Improved YOLOv11
35 stars5 forks#32
rs-dl/MOPAD
Dataset and codes of paper "Growing status observation for individual oil palm trees using Unmanned Aerial Vehicle (UAV) images"
32 stars7 forksA User-Friendly Toolkit for UAV Light-weighting Object Detection
31 stars2 forks复现Drone-YOLOv8s,论文三明治结构中DW卷积核存在疑点,均改为3*3.
30 stars8 forksDeep Learning-based Early Weed Segmentation using Motion Blurred UAV Images of Sorghum Fields
26 stars4 forksCooking Drone Visuomotor Policies in a Gaussian Splat Vacuum
23 stars8 forksImproved thermal orthomosaicking workflow using co-acquired RGB and thermal drone imagery. Published as Featured MDPI Journal Article.
23 stars5 forksEnabling Geospatial Predictions from Individual Drone Images
22 stars5 forksZephyrine: An augmented GNC framework system for experimental UAVs. Engineered for high-speed processing of navigation loops and sensor fusion and adaptation to bridge the gap between strategic virtual path and action planning and real-world kinematic control.
22 stars1 forks- 19 stars5 forks
A Multimodal Detection and Tracking System based on DJI Payload SDK and Mobile SDK.
19 stars3 forks- 17 stars5 forks
Code for near-shore thermal water segmentation on UAVs. Datasets for network training included.
17 stars3 forksMegaDetector-Overhead — The Microsoft open-source AI for overhead wildlife detection. Point-based detection model for aerial and drone imagery, identifying wildlife from above. Maintained by Microsoft AI for Good Lab. Part of the Pytorch-Wildlife ecosystem.
16 stars1 forksAnalyse and view your UAV mapping flights in a structured webapp
12 stars2 forks#46
wxy16/SSFNet
SSFNet:Lightweight real-time network for semantic segmentation of UAV remote sensing images
12 stars0 forksThis is a PyTorch-based project for drone image segmentation. The goal of this project is to segment objects and regions of interest within aerial images captured by drones. Image segmentation is a crucial task in computer vision and has various applications, including agriculture, urban planning, and environmental monitoring.
9 stars2 forksNasiri et al., Using Citizen Science Data as Pre-Training for Semantic Segmentation of High-Resolution UAV Images for Natural Forests Post-Disturbance Assessment, Forests, 2025
7 stars1 forksFrom 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.
6 stars1 forksExpert Systems With Applications:Shooting condition insensitive unmanned aerial vehicle object detection
6 stars1 forksTruck Rollover Crashes on Ramps. Funding agency- MassDOT
5 stars0 forksThe repository is a supplement to the paper "Enhancing people localisation in drone imagery for better crowd management by utilising every pixel in high-resolution images"
4 stars1 forks- 3 stars0 forks
An oriented instance segmentation network of breeding plot extraction from UAV RGB imagery
3 stars0 forksDrone Video Analysis(DVA) project for helping MARC supported by Kakao Impact, MODULABS
2 stars1 forksSemantic Template Matching For Map-Based UAV Localization
2 stars1 forksHave fun with DJI Tello Drone by exploring every idea and possibility that can done with the drone!
2 stars1 forksClassification of hyperspectral UAV swaths using Convolutional Neural Networks.
2 stars0 forks- 2 stars0 forks
AI CUP 2024 Spring - Rank13
2 stars0 forksUnity project to simulate drone autonomous navigation via AI object recognition.
1 stars1 forksEfficient model for semantic segmentation on edge devices, specifically targeting the analysis of disaster scenes from images captured by unmanned aerial vehicles (UAVs).
1 stars1 forks- 1 stars1 forks
A proof of concept for using machine learning with radar data from a UAV over a body of water to estimate the thicness of an oil spill.
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Semantic segmentation of fluvial images taken by drone
1 stars0 forksUAB's Cs 420/520 course
1 stars0 forksUsing VGG16 CNN for weed detection on RGB images taken by UAV
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Aerial Satellite Imagery Segmentation Nepal is a project for my thesis of Master of Technology in Artificial Intelligence, Kathmandu University. The project contains implementation of several models to train on a custom drone image dataset of Nepal. The project tries to study the landcover segmentation with classes like buildings & woodlands.
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Solar panel and boiler counting model for the Lacuna Solar Survey Challenge on Zindi. Built using InceptionV3, hybrid Albumentations + TorchVision augmentations, and trained with MAE loss. Final predictions made on satellite and drone imagery from Madagascar.
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Robust Object Detection for Surveillance Drones in Low-Visibility Environments Using Lightweight AI Models
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TakuNet: an Energy-Efficient CNN for Real-Time Inference on Embedded UAV systems in Emergency Response Scenarios
0 stars0 forksDrone adaptation of One-2-3-4-5
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A Tello drone designed application powered by YOLO that allows users to detect and document waste.
0 stars0 forksIdentify drone GPS by mapping aerial footage to Google map tiles
0 stars0 forksImplementation of "TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-Captured Scenarios"
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MIT AI Global Hackathon Case 5
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#93
rm2077/ADDS
Autonomous Drone Delivery System
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This repository provides a comprehensive approach to weed segmentation using UAV images, encompassing data preparation, model training, prediction, and evaluation.
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UAV Forge's imaging and navigation repository for the 2022-23 school year
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