COTATENIS-SNEAKERS | Multiclass classification on a sneakers dataset

WARNING : This project has been tested on Python 3.10 and 3.11, if you encounter any error please update your Python version.

Data origin : Kaggle - Cotatenis Dataset

Getting started

First, clone the repository:

git clone [email protected]:MariusAAROS/ramp-kits-cotatenis-sneakers.git

Install the required packages

To run a submission and the notebook, you will need to install torch as well as the other dependencies listed in requirements.txt, inside a dedicated environment.

Regarding the installation of torch, we recommand installing a version optimized for GPU. If you are using Windows, you may run the following command in your terminal :

pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

If you are using another OS, or if you do not have a GPU, you can find other torch versions on the PyTorch website.

Once you have installed torch, you may install the other required dependencies with the following command-line:

pip install -U -r requirements.txt

Challenge description

Get started on this challenge with the dedicated notebook (note that you need to have your kaggle credentials set up to download the data from kaggle, see here.

Test a submission

The submissions need to be located in the submissions folder. For instance, if you have some code to submit stored in a my_submission folder, this folder should be located in submissions/my_submission.

To run a specific submission, you can use the ramp-test command line:

ramp-test --submission my_submission

To obtain more detailed information regarding this command line, you may run :

ramp-test --help

To go further

You can find more information regarding ramp-workflow in the dedicated documentation