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Automated Seed Quality Testing System using GAN & Active Learning
A dataset of 26K corn seed images, classified into pure seeds and three other defective classes (broken, silkcut, and discolored). -
Experimental Results
The authors evaluate the performance of their proposed conformal prediction methods for multistep feedback covariate shift (MFCS) on synthetic black-box optimization and active...
