---
license: cc-by-sa-4.0
arxiv: 2403.09193
dataset_info:
  features:
  - name: image
    dtype: image
  - name: lf_label
    dtype: string
  - name: hf_label
    dtype: string
  splits:
  - name: test
    num_bytes: 43555505.52
    num_examples: 1280
  download_size: 43548336
  dataset_size: 43555505.52
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
task_categories:
- image-classification
language:
- en
tags:
- imagenet
- frequncy-bias
- texture-shape-bias
- vision-language-model
pretty_name: Low-/High-Frequency Cue-Conflict
---

This dataset contains images of natural objects with low- and high-frequency cue conflicts, as described in the paper [Can We Talk Models Into Seeing the World Differently?](https://huggingface.co/papers/2403.09193).

The dataset consists of 1200 images where the low-frequency and high-frequency information correlate with different classes (out of 16 classes). This dataset can be used to evaluate the frequency-bias of vision models.