mlsanityData to 14 Oct 2026

SynDroneVision: A Synthetic Dataset for Image-Based Drone Detection

arXiv 2411.05633 ↗First posted 8 Nov 2024cs.CV cs.AI cs.ROcited by 8

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Abstract (arXiv)

Developing robust drone detection systems is often constrained by the limited availability of large-scale annotated training data and the high costs associated with real-world data collection. However, leveraging synthetic data generated via game engine-based simulations provides a promising and cost-effective solution to overcome this issue. Therefore, we present SynDroneVision, a synthetic dataset specifically designed for RGB-based drone detection in surveillance applications. Featuring diverse backgrounds, lighting conditions, and drone models, SynDroneVision offers a comprehensive training foundation for deep learning algorithms. To evaluate the dataset's effectiveness, we perform a comparative analysis across a selection of recent YOLO detection models. Our findings demonstrate that SynDroneVision is a valuable resource for real-world data enrichment, achieving notable enhancements in model performance and robustness, while significantly reducing the time and costs of real-world data acquisition. SynDroneVision will be publicly released upon paper acceptance.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 16 of its 53 references that are in the map. First posted on arXiv 8 Nov 2024.

Builds on

16 of 53 references.

References · 16

  1. 2024YOLOv9: Learning What You Want to Learn Using Programmable Gradient Informationcited by 425
  2. 2023BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motioncited by 236
  3. 2020TAM: Temporal Adaptive Module for Video Recognitioncited by 139
  4. 2022Vision-based Anti-UAV Detection and Trackingcited by 44
  5. 2024Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Imagescited by 41
  6. 2023WEDGE: A multi-weather autonomous driving dataset built from generative vision-language modelscited by 28
  7. 2021Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmarkcited by 25
  8. 2017A Deep Learning Approach to Drone Monitoringcited by 16
  9. 2021Sim2Air - Synthetic aerial dataset for UAV monitoringcited by 16
  10. 2021A dataset for multi-sensor drone detectioncited by 15
  11. 2023DDOS: The Drone Depth and Obstacle Segmentation Datasetcited by 10
  12. 2018Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networkscited by 8
4 more
  1. 2023Investigation of UAV Detection in Images with Complex Backgrounds and Rainy Artifactscited by 7
  2. 2024YOLO-FEDER FusionNet: A Novel Deep Learning Architecture for Drone Detectioncited by 4
  3. 2021Brain over Brawn: Using a Stereo Camera to Detect, Track, and Intercept a Faster UAV by Reconstructing the Intruder's Trajectorycited by 2
  4. 2023SafeSea: Synthetic Data Generation for Adverse & Low Probability Maritime Conditionscited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 5.

8 papers.

  1. 2025Improving Small Drone Detection Through Multi-Scale Processing and Data Augmentationcited by 7
  2. 2025Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challengescited by 4
  3. 2025Performance Optimization of YOLO-FEDER FusionNet for Robust Drone Detection in Visually Complex Environmentscited by 2
  4. 2026Detector-Augmented SAMURAI for Long-Duration Drone Trackingcited by 1
  5. 2026LRDDv3: High-Resolution Long-Range Drone Detection Dataset with Range Information and Thermal Datacited by 1
  6. 2026SimD3: A Synthetic drone Dataset with Payload and Bird Distractor Modeling for Robust Detectioncited by 0
  7. 2026Beyond Clear Skies: Synthetic Seasonal and Weather Variations for Real-World Drone Detectioncited by 0
  8. 2026DroneGround: Open-Vocabulary Drone Payload Characterization Using Synthetic Data and Grounded Vision-Language Modelscited by 0