---
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