Data for: Detecting Explosive Trace Dataset using CNN

The dataset was originally numerical dataset for Detecting Explosives by PGNAA using KNN. Due to the need to train the data for trace element detection using CNN, it was important to modify the data by converting them to 2D images. CNN performs better with images than numerical values. Out of 65, 000 data samples, 1000 points were used. Each data point had only two features, explosive and non-explosive.