PomegranateGuard: Images of Agricultural Plant Diseases

PomegranateGuard is a dataset focused on agricultural disease detection, likely for pomegranate plants. It is hosted on Kaggle, a platform for data science competitions and projects. The dataset's specific content, scale, and collection details are not provided in the available metadata.

Use Cases

• Train an image classifier to identify pomegranate diseases (inferred from domain, verify after download)
• Develop object detection models for locating disease symptoms on leaves or fruit (inferred from domain, verify after download)
• Benchmark model performance for agricultural disease recognition tasks (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a major platform for sharing machine learning datasets.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license are unknown, which may limit suitability assessment.

Provenance

Source

Kaggle

Collection Method

Unknown

Time Range

Unknown

Freshness

Last updated date is unknown; freshness unverified.

Geography

Unknown