Benchmark RadarAI BENCHMARK PROFILE
JL1-CC&QA
JL1-CC&QA is a multi-task benchmark extending JL1-CD with change captioning and question answering. It includes 17,021 captions and 20,060 QA pairs over 5,000 bi-temporal image pairs from Jilin-1 satellite.
- Released
- 2026-06-30
- Readiness
- Runnable
- Primary field
- General AI
Why it matters
Bridges the semantic gap in remote sensing change detection by providing captions and QA alongside binary masks. Enables multi-task understanding of surface changes.
Motivation
Remote sensing change detection (CD) traditionally focuses on pixel-level binary segmentation, which identifies where changes occur but neither what nor why.
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.