Potato Leaf Disease Images for Computer Vision Models

A collection of images depicting potato leaves, likely for disease identification tasks. The dataset is hosted on Kaggle, but details on the number of images, collection date, and specific diseases are not provided in the metadata. The original author and organization are unknown.

Use Cases

• Train an image classifier to identify healthy vs. diseased potato leaves (inferred from domain, verify after download)
• Develop a segmentation model to localize disease symptoms on leaf surfaces (inferred from domain, verify after download)
• Benchmark transfer learning approaches for agricultural image analysis (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with established data sharing infrastructure.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file formats, and column definitions are unknown, which may limit suitability assessment.
• Data may reflect geographic or temporal bias inherent to its unspecified collection source.

Provenance

Source

Kaggle

Collection Method

null

Time Range

null

Freshness

Last updated date is unknown; freshness unverified.

Geography

null