Near-duplicates exist between Fashion-MNIST train and test sets and a cleaned dataset without them is proposed to reduce artificial accuracy inflation.
Fashion- MNIST : a novel image dataset for benchmarking machine learning algorithms, 2017
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Training on test data: Removing near duplicates in Fashion-MNIST
Near-duplicates exist between Fashion-MNIST train and test sets and a cleaned dataset without them is proposed to reduce artificial accuracy inflation.