CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks.

Ángela Casado-GarcíaCésar DomínguezManuel García-DomínguezJónathan HerasAdrián InésEloy MataVico Pascual

Published in: BMC bioinformatics (2019)

CLoDSA is the first, at least up to the best of our knowledge, image augmentation library for object classification, localization, detection, semantic segmentation, and instance segmentation that works not only with 2 dimensional images but also with multi-dimensional images.

Keyphrases

deep learning
convolutional neural network
machine learning
working memory
loop mediated isothermal amplification
soft tissue
quantum dots
sensitive detection