Chen-Yang-Liu/PromptCC
[IEEE TGRS 2023 🔥] A Decoupling Paradigm With Prompt Learning for Remote Sensing Image Change Captioning'
This project helps remote sensing analysts or environmental monitoring professionals automatically describe changes observed in satellite or aerial imagery. You provide two remote sensing images of the same area taken at different times, and it generates a text description outlining what has changed. This is ideal for quickly identifying and documenting environmental shifts, urban development, or disaster impact.
No commits in the last 6 months.
Use this if you need to automatically generate human-readable captions describing changes between pairs of remote sensing images.
Not ideal if you're looking for a tool to detect changes without generating a descriptive text, or if your images are not remote sensing data.
Stars
38
Forks
3
Language
Python
License
—
Category
Last pushed
Jul 27, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/prompt-engineering/Chen-Yang-Liu/PromptCC"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
meta-prompting/meta-prompting
Official implementation of Meta Prompting for AI Systems (https://arxiv.org/abs/2311.11482)
auniquesun/Point-PRC
[NeurIPS 2024] Official implementation of the paper "Point-PRC: A Prompt Learning Based...
slashrebootofficial/simulated-metacognition-in-open-source-llms
This repository archives artifacts (prompts, configs, logs, and scripts) from a series of...
UKPLab/emnlp2024-code-prompting
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs. EMNLP 2024
egmaminta/GEPA-Lite
A lightweight implementation of the GEPA (Genetic-Pareto) prompt optimization method for large...