Yolov8 Air Defense Detection

• Dataset Link: Kaggle Dataset

Performance

Trained using Ultralytics YOLOv8 architecture, optimized for high-speed target acquisition.

How to use

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.