Coral images from 3 oceans are used in this dataset. CoralVQA contains 12,805 real-world coral images from 67 genera, paired with 277,653 question-answer pairs assessing ecological and health conditions. The dataset was created by CoralReefData and last updated on September 29,我们发现了一个问题，请关闭当前工具，使用“联网搜索”重新尝试一下。
Use Cases
- Train visual question answering models based on coral reef imagery.
- Analyze coral health and ecological conditions based on the annotated question-answer pairs.
- Benchmark model performance on domain-specific visual understanding tasks based on the described large-scale VQA data.
Strengths
- Large scale with 12,805 real-world coral images.
- Comprehensive annotation with 277,653 question-answer pairs.
- Diverse geographic coverage from 3 oceans.
- Taxonomic breadth covering 67 coral genera.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect geographic bias inherent to the collection from three oceans.
Provenance
- Source
- CoralReefData
- Collection Method
- Constructed via a semi-automatic data construction pipeline.
- Time Range
- null
- Freshness
- Last updated 2025-09-29 02:51:02; freshness should be verified.
- Geography
- Images collected from 3 oceans.