Datasets:
Tasks:
Image Classification
Modalities:
Image
File size: 1,674 Bytes
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---
task_categories:
- image-classification
---
# Tree-disease
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
"image": "<259x194 RGB PIL image>",
"target": 1
},
{
"image": "<275x183 RGB PIL image>",
"target": 16
}
]
```
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"image": "Image(decode=True, id=None)",
"target": "ClassLabel(names=['Agrilus planipennis \u6241\u8c46', 'Annosum Root Rot \u756a\u8354\u679d\u6839\u8150\u75c5', 'Anthracnose \u70ad\u75bd\u75c5', 'Black knot (lethal disease) \u9ed1\u7d50\uff08\u81f4\u547d\u75be\u75c5\uff09', 'Dendroctonus micans \u96f2\u6749', 'Dieback \u67af\u6b7b', 'Diffuse cankers\\xa0\u7030\u6f2b\u6027\u6f70\u760d', 'Fusiform rust \u68ad\u5f62\u92b9\u75c5', 'Hardwood Leaf Diseases\u786c\u6728\u8449\u75c5', 'Hymenoscyphus fraxineus \u767d\u881f\u87ec', 'Leaf Blister \u8449\u6ce1', 'Leaf Spots \u8449\u6591', 'Littleleaf Disease \u5c0f\u8449\u75c5', 'Loblolly Pine Decline \u706b\u70ac\u677e\u8870\u843d', 'Needle Blights \u91dd\u8449\u67af\u75c5', 'Needle Rusts \u91dd\u8449\u92b9\u75c5', 'Powdery Mildew \u767d\u7c89\u75c5', 'Root rots \u6839\u8150\u75c5', 'Rots and Decays \u8150\u721b', 'Stem decays \u8396\u8150\u721b', 'Tar Spot \u7126\u6cb9\u6591', 'Wilts \u67af\u840e\u75c5'], id=None)"
}
```
### Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
| ------------ | ------------------- |
| train | 105 |
| valid | 39 |
|