| ---
|
| license: cc-by-4.0
|
| task_categories:
|
| - image-text-retrieval
|
| language:
|
| - en
|
| tags:
|
| - agriculture
|
| - plant-disease
|
| - image-text-retrieval
|
| - leafnet
|
| - structured-captions
|
| pretty_name: LeafNet 5-Caption Structured
|
| size_categories:
|
| - 10K<n<100K
|
| ---
|
|
|
| # LeafNet 5-Caption Structured Dataset
|
|
|
| ## Description
|
| Agricultural leaf image dataset with **5-angle structured captions** for image-text retrieval.
|
|
|
| Each image has 5 captions from different perspectives:
|
| - **[Distribution]**: Lesion/spots distribution and quantity
|
| - **[Lesion]**: Individual lesion shape, border, and internal structure
|
| - **[Color]**: Color changes, halos, powdery coatings, or texture
|
| - **[Location]**: Where symptoms concentrate on the leaf
|
| - **[Diagnosis]**: Comparison to healthy state and distinguishing features
|
|
|
| **Disease names are NOT included** in captions to ensure genuine cross-modal understanding.
|
|
|
| ## Stats
|
| - **Images**: 13,012
|
| - **Classes**: 89 (crop-disease pairs)
|
| - **Captions per image**: 5
|
| - **Total captions**: 65,060
|
|
|
| ## Splits
|
| | Split | Images |
|
| |-------|--------|
|
| | Train | 10,405 |
|
| | Val | 1,299 |
|
| | Test | 1,308 |
|
|
|
| ## Files
|
| - : All 13,012 images with 5 captions each
|
| - : Training set (1 caption per image)
|
| - : Validation set (1 caption per image)
|
| - : Test set (1 caption per image)
|
| - : Test set with all 5 captions per image
|
| - : img2txt and txt2img mapping for retrieval evaluation
|
| - : Split details and class distribution
|
|
|
