Multimodal Medicinal Plant Dataset: Images and Morphological Metrics for 30 Species

MMPD-3 contains images and morphological metrics for 30 species of medicinal plants. The dataset is hosted on Kaggle, but the author, organization, and specific data collection details are not provided. The last update date and data volume are unknown.

Use Cases

• Train image classification models for medicinal plant species based on the provided images.
• Develop multimodal models that combine visual and morphological data for plant recognition.
• Perform botanical analysis or build educational tools based on the plant species metrics.
• Benchmark machine learning algorithms on a dataset containing both image and tabular data types.

Strengths

• Includes data for 30 distinct medicinal plant species.
• Contains multimodal data, specifically images and morphological metrics.

Limitations

• Row count, file formats, and data size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Author, organization, license, and last update date are unknown, affecting provenance assessment.

Provenance

Source

Kaggle

Collection Method

Likely gathered for botanical or machine learning research purposes, but specific collection method is not described.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

null