LanCole/Awesome-Remote-Sensing-Cross-Modal-Image-Text-Retrieval

A collection of papers, datasets, benchmarks, code, and model weights for Remote Sensing Cross-Modal Image-Text Retrieval (RSCMIT).

40
Stars
0
Forks
18.8
Radar Score
Declining
Momentum

Scoring Breakdown

Impact10.5
Velocity14.4
Health38.3

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
—

Why it ranks

Momentum is cooling relative to the rest of the index.

Multimodal AITop 97% globally

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🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Unlicensed / Custom
Review license terms carefully before commercial adoption.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
18.8
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

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