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HKDB SDFT Unbalanced
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HKDB SDFT Unbalanced
Developed by g30rv17ys
HKDB_SDFT_Unbalanced is a model for image classification tasks with high accuracy.
Downloads 17
Release Time : 2/27/2023
Model Overview
This model is primarily used for image classification tasks, capable of classifying and recognizing input images.
Model Features
High accuracy
This model performs excellently in image classification tasks, achieving an accuracy of 93.55%.
Model Capabilities
Image classification
Use Cases
Image recognition
Object classification
Classify and recognize objects in images.
Accuracy 93.55%
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