Exemplar pyramid deep feature extraction based cervical cancer image classification model using pap-smear images

•Automated classification of the pap-smear image using exemplar pyramid deep feature extraction technique.•A shallow classifier(Cubic SVM) with high classification ability.•Two cervical cancer datasets (SIPaKMeD and Mendeley LBC) are used for pap-smear image classification.•Obtained 98.26% and 99.47% accuracies for SIPaKMeD and Mendeley LBC datasets respectively.