Awesome Computer Vision Done Quick

AI researcher Bishmer Sekaran demonstrates how Julia is:

  • easy
  • fast
  • powerful

when performing sophisticated Computer Vision image classification tasks using the SSDMNV2 masked/unmasked image dataset.


A whirlwind tour of the concepts behind Convolutional Neural Networks in Deep Learning, their implementation in Flux.ml, and some significant real-world applications to benefit public health.

All code will be made available on Codeberg (or GitHub if the organizers prefer) under the same free MIT license which Julia itself is distributed under.

The speaker’s profile picture
Bishmer Sekaran

Bishmer Sekaran is an Artificial Intelligence researcher based in Singapore. He first discovered Julia in 2020 and has been a vocal proponent ever since.