NGLD Grape Leaf Disease Images for Visual Language Models

The dataset is derived from the Niphad Grape Leaf Disease Dataset (NGLD), which contains high-quality images of table grape leaves categorized by disease. The original dataset was created by researchers from Symbiosis Institute of Technology and published on Mendeley Data under a CC BY 4.0 license. This version, uploaded by qingwuuu, appears to be adapted for use with visual language models.

Use Cases

• Train image classification models based on labeled grape leaf disease categories.
• Fine-tune visual language models based on the high-quality leaf images.
• Benchmark agricultural disease detection algorithms based on the original NGLD dataset.
• Study plant pathology and symptom recognition based on visual data.

Strengths

• Derived from a published academic dataset with a documented DOI and authors.
• Original source dataset is described as containing high-quality images.
• Original dataset license is explicitly stated as CC BY 4.0.

Limitations

• Column-level documentation and sample data are unavailable, making field semantics unclear.
• The dataset size, row count, and specific file formats are unknown.
• The description is incomplete, requiring a visit to the Hugging Face page for full details.

Provenance

Source

Niphad Grape Leaf Disease Dataset (NGLD) on Mendeley Data.

Collection Method

Derived from the original image collection; specific adaptation method is not detailed.

Time Range

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Freshness

Last updated 2026-04-08 20:04:39; freshness should be verified.

Geography

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