Published February 7, 2024 | Version v1
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ConCon: Continually Confounded Dataset

Creators

  • 1. ROR icon Technical University of Darmstadt

Description

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.

Files

case_disjoint_main.zip

Files (3.8 GB)

Name Size Download all
md5:6062472f490fe9987a385f928ddc7e1e
1.6 GB Preview Download
md5:362ba55c4069e0524dd0f28a263dd497
1.6 GB Preview Download
md5:87e0f1fe05cdfc359189fa9bf8be7942
134.4 kB Preview Download
md5:ebb7750d14efb95e6eedfa6c2d78049d
552.5 MB Preview Download

Additional details

Software

Repository URL
https://github.com/ml-research/concon
Programming language
Python