A CNN classifier model achieving a test accuracy of ~82%.
Categorizes images into three distinct patterns: Banarasi, Pichwai, and Ikat
Also applied ResNet and EfficientNet architectures on the data, achieved ~40% test accuracy
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A CNN classifier model achieving a test accuracy of ~82%, categorizes images into three distinct patterns: Banarasi, Pichwai, and Ikat. Also applied ResNet and EfficientNet architectures on the data, achieved ~40% test accuracy
DS-1090/Indian_Pattern_Classifier
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A CNN classifier model achieving a test accuracy of ~82%, categorizes images into three distinct patterns: Banarasi, Pichwai, and Ikat. Also applied ResNet and EfficientNet architectures on the data, achieved ~40% test accuracy
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