---
language:
  - en
tags:
  - remote-sensing
  - image-quality-assessment
  - benchmark
  - visual-question-answering
task_categories:
  - visual-question-answering
  - image-classification
pretty_name: SenseBench
license: cc-by-4.0
---

# SenseBench

> A benchmark for remote sensing low-level visual perception and description in large vision-language models.

🏠 [github](https://github.com/Zhong-Chenchen/SenseBench) | 🤗 [Hugging Face Fullset](https://huggingface.co/datasets/Zhongchenchen/SenseBench)

## Overview

SenseBench is a remote sensing benchmark for evaluating low-level visual perception and description in large vision-language models.

## Supported Tasks

- Visual question answering
- Text generation

## Language

- English

## Data format

Each example contains image paths, a question, an answer, and metadata describing the distortion type.

```json
{
  "id": "4fda312e-70d2-4df7-b1f7-2f06955bf338",
  "images": [
    "images/4fda312e-70d2-4df7-b1f7-2f06955bf338_0.png",
    "images/4fda312e-70d2-4df7-b1f7-2f06955bf338_1.png"
  ],
  "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion",
  "answer": "A",
  "meta": {
    "image_count": "multi",
    "modality": "RGB",
    "task": "how",
    "domain": "general",
    "distortion_family": "blur",
    "distortion_type": "blur_gaussian",
    "distortion_complexity": "single",
    "comparison": "intra-image"
  }
}
```