metadata
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 | 🤗 Hugging Face Fullset
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"
}
}