Datasets:
Add 1,092 expert crop disease annotations with CC-BY-4.0 license
Browse files- README.md +91 -3
- annotations.csv +0 -0
README.md
CHANGED
|
@@ -1,3 +1,91 @@
|
|
| 1 |
-
---
|
| 2 |
-
license:
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-4.0
|
| 3 |
+
task_categories:
|
| 4 |
+
- image-classification
|
| 5 |
+
language:
|
| 6 |
+
- en
|
| 7 |
+
tags:
|
| 8 |
+
- agriculture
|
| 9 |
+
- crop-disease
|
| 10 |
+
- pest-detection
|
| 11 |
+
- plant-pathology
|
| 12 |
+
- expert-annotations
|
| 13 |
+
size_categories:
|
| 14 |
+
- 1K<n<10K
|
| 15 |
+
---
|
| 16 |
+
|
| 17 |
+
# Crop Disease Expert Annotations
|
| 18 |
+
|
| 19 |
+
1,092 crop images annotated by agricultural experts with ground truth diagnoses covering pests, diseases, and nutrient deficiencies across 74 crop types.
|
| 20 |
+
|
| 21 |
+
## Dataset
|
| 22 |
+
|
| 23 |
+
**File:** `annotations.csv` (4 columns)
|
| 24 |
+
|
| 25 |
+
| Column | Description |
|
| 26 |
+
|--------|-------------|
|
| 27 |
+
| `image_url` | URL to the crop image |
|
| 28 |
+
| `crop` | Crop or plant identified by the expert |
|
| 29 |
+
| `diagnosis` | Pest, disease, or nutrient deficiency name(s); `Healthy` if none |
|
| 30 |
+
| `details` | Expert's observations on visible symptoms |
|
| 31 |
+
|
| 32 |
+
Multiple diagnoses per image are semicolon-separated.
|
| 33 |
+
|
| 34 |
+
## Stats
|
| 35 |
+
|
| 36 |
+
| | Count |
|
| 37 |
+
|---|------:|
|
| 38 |
+
| Total annotations | 1,092 |
|
| 39 |
+
| Diseased | 777 |
|
| 40 |
+
| Healthy | 315 |
|
| 41 |
+
| Unique crops | 74 |
|
| 42 |
+
|
| 43 |
+
### Top 10 Crops
|
| 44 |
+
|
| 45 |
+
| Crop | Count |
|
| 46 |
+
|------|------:|
|
| 47 |
+
| Chilli | 135 |
|
| 48 |
+
| Potato | 109 |
|
| 49 |
+
| Brinjal | 91 |
|
| 50 |
+
| Maize | 87 |
|
| 51 |
+
| Mango | 68 |
|
| 52 |
+
| Tomato | 52 |
|
| 53 |
+
| Papaya | 47 |
|
| 54 |
+
| Wheat | 39 |
|
| 55 |
+
| Mustard | 34 |
|
| 56 |
+
| Bean | 33 |
|
| 57 |
+
|
| 58 |
+
### Top 10 Diagnoses
|
| 59 |
+
|
| 60 |
+
| Diagnosis | Count |
|
| 61 |
+
|-----------|------:|
|
| 62 |
+
| Leaf Curl Virus | 89 |
|
| 63 |
+
| Thrips | 73 |
|
| 64 |
+
| Aphids | 62 |
|
| 65 |
+
| Fall Armyworm | 57 |
|
| 66 |
+
| Mites | 52 |
|
| 67 |
+
| Powdery Mildew | 49 |
|
| 68 |
+
| Anthracnose | 34 |
|
| 69 |
+
| Shoot and Fruit Borer | 33 |
|
| 70 |
+
| Mosaic Virus | 25 |
|
| 71 |
+
| Leaf Miner | 21 |
|
| 72 |
+
|
| 73 |
+
## Source
|
| 74 |
+
|
| 75 |
+
Annotations were collected by [Digital Green](https://www.digitalgreen.org/) as part of the [Farmer.Chat](https://farmerchat.digitalgreen.org/) project, an AI-powered agricultural advisory platform serving smallholder farmers.
|
| 76 |
+
|
| 77 |
+
## License
|
| 78 |
+
|
| 79 |
+
This dataset is released under [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/). You are free to share and adapt the data for any purpose, provided you give appropriate credit to Digital Green.
|
| 80 |
+
|
| 81 |
+
### Citation
|
| 82 |
+
|
| 83 |
+
```bibtex
|
| 84 |
+
@dataset{digigreen_crop_disease_2026,
|
| 85 |
+
title={Crop Disease Expert Annotations},
|
| 86 |
+
author={Digital Green},
|
| 87 |
+
year={2026},
|
| 88 |
+
url={https://huggingface.co/datasets/DigiGreen/Crop_Disease_Images},
|
| 89 |
+
license={CC-BY-4.0}
|
| 90 |
+
}
|
| 91 |
+
```
|
annotations.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|