SenseBench

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

🏠 github | 🤗 Hugging Face Subset

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.

{
  "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"
  }
}