YOLOv5s Final Year Projects with Source Code

YOLOv5s Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These YOLOv5s projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.

YOLOv5s Final Year Projects

  1. Bone Stick Image Classification Study Based on C3CA Attention Mechanism Enhanced Deep Cascade Network
    This project focuses on classifying ancient bone sticks unearthed in China using artificial intelligence. It develops a deep learning model that can accurately identify fracture locations and colors on the bone sticks. The model uses advanced attention techniques to focus on important features and reduce background interference. As a result, it achieves high accuracy, making the classification of these historical artifacts much faster and more reliable.
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At Final Year Projects, we provide complete guidance for YOLOv5s IEEE projects for BE, BTech, ME, MSc, MCA and MTech students. We assist at every step from topic selection to coding, report writing, and result analysis.

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YOLOv5s Project Synopsis & Presentation

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