ConCon Dataset

Continually Confounded Dataset

Introduced 2024-02-09

ConCon: Continually Confounded Dataset is a confounded visual dataset for continual learning. 

Files contained:

case_disjoint, case_strict and unconfounded consist of splits for training (train), validation (val), testing (test). 

Each split within case_disjoint and case_strict contains 3 tasks (t0, t1, t2) whereas there is 1 task (t0) within unconfounded.

Each task contains folders for postive(1) and negative(0) images.