Image Data Labeler and Computer Vision Engineer - Autonomous Target Detection for UAV
OtherImageObject Detection
Developed a computer vision software to autonomously detect unknown targets and execute precise payload drops from a fixed-wing UAV. Labeled and trained image datasets using YOLOv8 in Python, deploying the solution on Raspberry Pi 4 for real-world UAV missions. Conducted iterative data annotation and model tuning to enhance target detection accuracy for dynamic environments.
• Labeled aerial imagery for target identification tasks
• Utilized object detection for precise payload deployment
• Integrated annotated data with UAV flight systems
• Improved detection model through feedback and retraining
Developed a computer vision software to autonomously detect unknown targets and execute precise payload drops from a fixed-wing UAV. Labeled and trained image datasets using YOLOv8 in Python, deploying the solution on Raspberry Pi 4 for real-world UAV missions. Conducted iterative data annotation and model tuning to enhance target detection accuracy for dynamic environments. • Labeled aerial imagery for target identification tasks • Utilized object detection for precise payload deployment • Integrated annotated data with UAV flight systems • Improved detection model through feedback and retraining
2025 - 2025