African Bovid Dentition Images for Taxon-Level Classification

Replication Data for Model-Agnostic Meta-Learning Methods Using Dentitions to Classify African Bovids provides code and images for classifying bovid taxa from four tribes: Alcelaphini, Tragelaphini, Reduncini, and Hippotragini. The dataset was authored by Manuel Domínguez-Rodrigo and is hosted on Harvard Dataverse. It was last updated on May 15, 2026.

Use Cases

• Training image classification models based on dentition images.
• Benchmarking meta-learning algorithms for few-shot classification tasks based on the described taxonomic groups.
• Studying morphological patterns in African bovid teeth for taxonomic identification.

Strengths

• Focuses on a specific, well-defined zoological classification task involving four bovid tribes.
• Includes associated code for model-agnostic meta-learning methods, facilitating reproducibility.

Limitations

• The description lacks details on the number of images, file formats, or column-level metadata.
• Row count and dataset size are unknown, limiting suitability assessment for large-scale training.

Provenance

Source

Harvard Dataverse

Freshness

Last updated 2026-05-15 13:24:24; freshness should be verified.

Geography

Africa