This repository provides information about the datasets used in the paper "Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models", ICML 2024. https://arxiv.org/abs/2311.18237v2

The datasplits directory contains the training, validation and test subsets of [ADE20K], [EuroSAT], [HAM10K], [ImageNet],and [Places365] datasets used in the paper. Each data subset is specified using a text file that consists of the filenames of the images in that subset. Please download the actual images directly from the corresponding dataset hosts.

If you find this repo useful, please cite the following paper:

@inproceedings{knowledgetransfer2024,
  title={Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models},
  author={Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel},
  booktitle={International Conference on Machine Learning (ICML)},
  year={2024},
}