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Highlight of my featured works

🚢🔍 YOLO based Ship Detection

Deep Learning / Object Detection 2025

Ship detection using YOLO models (v4, v8, v11). Compared their performance in accuracy, speed, and robustness for object detection tasks.

YOLOv4 Detection YOLOv8 Detection YOLOv11 Detection

🎯 What I Learned

  • Trained and evaluated YOLO models for ship detection
  • Learned trade-offs between accuracy and inference speed
  • Applied evaluation metrics: precision, recall, mAP

🛠 Tech Stack

  • Python, NumPy, Pandas
  • Matplotlib, Seaborn
  • OpenCV, TensorFlow
  • Ultralytics YOLOv8 / YOLOv11

📌 Evaluation / Next Step

YOLOv4 provided a stable baseline but was slower and less accurate. YOLOv8 improved both speed and detection quality, while YOLOv11 delivered the best performance overall. Next steps include dataset expansion, fine-tuning YOLOv11, and real-time deployment for ship surveillance systems.

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