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we will dive deeper into the experimental setup, highlighting the key steps involved in training and evaluating the YOLOv8s and YOLOv8m models on the Argoversehd dataset. We will discuss the training process, including data preparation, model configuration of YOLOv8 in the context of object detection on the Argoversehd dataset.

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yolov8-on-argoversehd-object-detection's Introduction

A passionate Deep Learning developer

🔭 Master's student in Robotics and Autonomous Systems, specializing in Artificial Intelligence at Arizona State University.
👯 I design, architect, and implement machine learning and data science projects in my day job.
🤝 I'm open to collaborating on exciting ideas, particularly on the NLP and Machine Learning projects.
👨‍💻 All of my projects are available at https://anirudh6415.github.io/projects/
📫 How to reach me: [email protected]
⚡ Apart from tech, I find joy in baking and cooking, seeing it as a scientific process that brings happiness.

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