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This model is fine-tuned to detect aerial targets including F-16s, helicopters, quadcopters, and rockets for air defense and autonomous surveillance applications.
Source du modèle
Description de la source
This model is fine-tuned to detect aerial targets including F-16s, helicopters, quadcopters, and rockets for air defense and autonomous surveillance applications.
Check out the comprehensive real-time inference and target tracking capability of this model on YouTube: YouTube Video Link
The model was trained on a custom dataset curated from Fabsketch simulations and real-world imagery.
Sources
1 sourceVérifié 16 sept.
Artefacts du modèle
1 artefactExtraits de sources
2 extraitsTrained using Ultralytics YOLOv8 architecture, optimized for high-speed target acquisition.
Alternatively, you can load the model directly from this Hugging Face repository using the huggingface_hub library.
--- license: mit library_name: ultralytics tags: - yolo - yolo-v8 - object-detection - air-defense - military --- # YOLOv8 Air Defense Target Detection This model is fine-tuned to detect aerial targets including **F-16s, helicopters, quadcopters, and rockets** for air defense and autonomous surveillance applications. ## Video Demonstration Check out the comprehensive real-time inference and target tracking capability of this model on YouTube: [YouTube Video Link](https://youtu.be/VNkCsV3xHDg?si=xLHa_e2n4BI1M52p) ## Dataset The model was trained on a custom dataset curated from Fabsketch simulations and real-world imagery. - **Dataset Link:** [Kaggle Dataset](https://www.kaggle.com/datasets/caferfatihgltekin/air-defense-object-detection-dataset-yolov8) ## Performance Trained using Ultralytics YOLOv8 architecture, optimized for high-speed target acquisition. ## How to use ```python Alternatively, you can load the model directly from this Hugging Face repository using the huggingface_hub library.
Source context: 7 downloads · 0 likes · Pipeline object-detection · Library ultralytics · Repo FatihG79/yolov8-air-defense-detection