This competition is part of the Fine-Grained Visual Categorization(FGVC8) workshop at the Computer Vision and Pattern Recognition Conference- CVPR 2021. In this repository, I have provided a solution for the challenge. It was multi-label classification problem. I used pre-trained InceptionV3 as the main feature extractor. The highest achieved validation accuracy was 87.34%.
-
Notifications
You must be signed in to change notification settings - Fork 0
umar07/Plant_Pathology_Challenge_2021
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Multi-label classification problem, Plant Pathology Challenge in FGVC8 workshop at CVPR-2021.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published