Microsoft Rice Disease Classification Challenge
Can you identify disease in images of rice grown in Egypt?
Prize
$3 000 USD
Time
Ended 6 months ago
Participants
261 active · 833 enrolled
Helping
Egypt
Intermediate
Computer Vision
Classification
Agriculture
Pretraining a self-supervised learning algorithm to solve this challenge (one way to use both image types)
Notebooks · 24 Jul 2022, 13:56 · 2

This repository contains two training notebooks and notes showing how to pretrain from scratch, (or from imagenet weights) a self-supervised encoder that can be finetuned to solve this task. I also experimented with progressive resizing, and have released a pretrained encoder called mwalimu-128 for the 128px image size, that achieves a validation loss of 4.98 for xresnet34, and 4.35 for res2next50. Link is in the README:

https://github.com/poppingtonic/semisupervised-rice-africa

Discussion 2 answers

Amazing work. Just a question, how do you do this supervised transform in ImageDataLoaders.from_lists in fastai?

24 Jul 2022, 18:22
Upvotes 2

Thank you @Koleshjr. I'm not sure I understand the question though, which supervised transform are you referring to?