Weapon year classification

Year-based classification of historical weapons and tools using image processing offers an innovative approach to identifying and dating ancient artifacts. This project utilizes advanced image analysis techniques to extract critical features such as shape, texture, material patterns, and engravings from artifact images. By focusing on these unique characteristics, the system aims to categorize weapons and tools into their respective historical periods with high precision. Machine learning algorithms play a crucial role in this classification process.



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