- Chidambar Hunakunti - 419 - 01FE19BCS219@kletech.ac.in
- Aditya Vikram - 420 - 01FE19BCS220@kletech.ac.in
- Rishab Jain - 428 - 01FE19BCS228@kletech.ac.in
- Harshita Hiremath - 435 - 01FE19BCS235@kletech.ac.in
https://www.drivendata.org/competitions/79/competition-image-similarity-1-dev/
A complete guide to downloading the dataset can be found here: https://www.drivendata.org/competitions/79/competition-image-similarity-1-dev/data/
TensorFlow, Pandas, and NumPy.
For a full list of libraries used, please check out environment.yml
file.
Before proceeding, make sure you have either Anaconda or Miniconda installed on your system.
- Make a new conda environment with all the necessary packages by using the command:
conda env create -f environment.yml
. - Activate the conda environment using the command:
conda activate img-similarity
. - Using terminal, type the command
jupyter notebook
to start a new jupyter server, to run the notebook.