ImageGem Models is a dataset of metadata for computer vision models, created by MAPS-research. It includes identifiers and version information for models. The dataset was last updated on March 9, 2026.
Use Cases
- Compare model versions based on metadata identifiers.
- Track model lineage and evolution using version metadata.
- Filter or categorize models by their assigned names.
- Integrate model metadata with associated image datasets for analysis.
Strengths
- Includes distinct identifiers for models and their versions.
- Provides model names for categorization.
- Dataset is associated with a research project and GitHub repository.
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 temporal or source bias inherent to its collection method.
Provenance
- Source
- MAPS-research
- Freshness
- Last updated 2026-03-09 08:11:18; freshness should be verified.