kbrodt / imet-2019-fgvc6

iMet Collection 2019 - FGVC6

iMet Collection 2019 - FGVC6

This is an another one approach to solve the competition from kaggle iMet Collection 2019 - FGVC6.

47th place out of 446 (silver medal) with 0.636 F2 score (top 1 -- 0.672).

Prerequisites

pip install -r requirements.txt

Usage

First download the train and test data from the competition link and put them into ./data folder.

To train the model run

python ./src/train.py

As this competition is kernel only, this command generates only trained models. It also needed to do inference on best chechpoints and averege the results via simple mean.

Approach

Detailed solution see in this presentation.