MLD-BD is a dataset for detecting diseases in mango leaves, sourced from Bangladesh. It is hosted on Kaggle. The specific contents, scale, and collection details are not provided in the available metadata.
Use Cases
- Train an image classifier to identify mango leaf diseases (inferred from domain, verify after download)
- Benchmark object detection models for locating diseased regions on leaves (inferred from domain, verify after download)
- Develop a mobile application for in-field disease diagnosis (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a platform with an established data science community.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Row count, file formats, and column definitions are unknown, which may limit suitability assessment.
Provenance
- Geography
- Bangladesh