16th place solution for the Intel & MobileODT Cervical Cancer Screening competition on Kaggle

https://www.kaggle.com/c/intel-mobileodt-cervical-cancer-screening

Domain knowledge

• Anatomy of the cervix
• Cervix types classification
• How to (humanly) recognize cervix types

Basic dataset stats

• Classify cervix types based on cervical images (three class classification problem)
• Image resolutions between 4128x3096 in 3264x2448 (all jpg - 3 channels)
• 1481 images in the training set (type_1: 250 (0.168805), type_2: 781 (0.527346), type_3: 450 (0.303849))
• 512 images in the test set

Additional dataset

• 6924 additional training images (prior to fixing)