Data augmentation encompasses a diverse array of methods designed to expand and diversify training datasets without the need for additional manual annotation. In computer vision, common approaches ...

Yesterday, when I first entered ITB India with my colleague Pranav N. Rao, I was slightly disappointed at the relative scale, even though comparing this with ITB Berlin wasn't fair. Given Pranav's ...

Data Augmentation: the cheapest way to boost generalization Data augmentation means creating modified versions of your training samples so the model learns the pattern, not the exact pixels/samples.

Blood cells undergo various morphological changes as they progress in their life cycle or undergo the impact of environmental factors. Classification of cell-cycle phases in nucleated blood cells ...

``torchaudio`` provides a variety of ways to augment audio data. In this tutorial, we look into a way to apply effects, filters, RIR (room impulse response) and codecs. At the end, we synthesize noisy ...