# AutoTrain Dataset for project: treehk

## Dataset Description

This dataset has been automatically processed by AutoTrain for project treehk.

### 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": "<245x358 RGB PIL image>",
    "target": 0
  },
  {
    "image": "<400x530 RGB PIL image>",
    "target": 0
  }
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(names=['Acacia auriculiformis \u8033\u679c\u76f8\u601d', 'Acacia confusa Merr. \u53f0\u7063\u76f8\u601d', 'Acacia mangium Willd. \u5927\u8449\u76f8\u601d', 'Acronychia pedunculata (L.) Miq.--\u5c71\u6cb9\u67d1', 'Archontophoenix alexandrae \u4e9e\u529b\u5c71\u5927\u6930\u5b50', 'Bauhinia purpurea L. \u7d05\u82b1\u7f8a\u8e44\u7532', 'Bauhinia variegata L \u5bae\u7c89\u7f8a\u8e44\u7532', 'Bauhinia \u6d0b\u7d2b\u834a', 'Bischofia javanica Blume \u79cb\u6953', 'Bischofia polycarpa \u91cd\u967d\u6728', 'Callistemon rigidus R. Br \u7d05\u5343\u5c64', 'Callistemon viminalis \u4e32\u9322\u67f3', 'Cinnamomum burmannii \u9670\u9999', 'Cinnamomum camphora \u6a1f\u6a39', 'Crateva trifoliata \u920d\u8449\u9b5a\u6728 ', 'Crateva unilocularis \u6a39\u982d\u83dc', 'Delonix regia \u9cf3\u51f0\u6728', 'Elaeocarpus hainanensis Oliv \u6c34\u77f3\u6995', 'Elaeocarpus sylvestris \u5c71\u675c\u82f1', 'Erythrina variegata L. \u523a\u6850', 'Ficus altissima Blume \u9ad8\u5c71\u6995', 'Ficus benjamina L. \u5782\u8449\u6995', 'Ficus elastica Roxb. ex Hornem \u5370\u5ea6\u6995', 'Ficus microcarpa L. f \u7d30\u8449\u6995', 'Ficus religiosa L. \u83e9\u63d0\u6a39', 'Ficus rumphii Blume \u5047\u83e9\u63d0\u6a39', 'Ficus subpisocarpa Gagnep. \u7b46\u7ba1\u6995', 'Ficus variegata Blume \u9752\u679c\u6995', 'Ficus virens Aiton \u5927\u8449\u6995', 'Koelreuteria bipinnata Franch. \u8907\u7fbd\u8449\u6b12\u6a39', 'Livistona chinensis \u84b2\u8475', 'Melaleuca Cajeput-tree \u767d\u5343\u5c64 ', 'Melia azedarach L \u695d', 'Peltophorum pterocarpum \u76fe\u67f1\u6728', 'Peltophorum tonkinense \u9280\u73e0', 'Roystonea regia \u5927\u738b\u6930\u5b50', 'Schefflera actinophylla \u8f3b\u8449\u9d5d\u638c\u67f4', 'Schefflera heptaphylla \u9d5d\u638c\u67f4', 'Spathodea campanulata\u706b\u7130\u6a39', 'Sterculia lanceolata Cav. \u5047\u860b\u5a46', 'Wodyetia bifurcata A.K.Irvine \u72d0\u5c3e\u68d5'], 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        | 385 |
| valid        | 113 |

task_categories:image-classification region:us
{"task_categories": ["image-classification"]}
TAGS
#task_categories-image-classification #region-us 

AutoTrain Dataset for project: treehk
=====================================


Dataset Description
-------------------


This dataset has been automatically processed by AutoTrain for project treehk.


### Languages


The BCP-47 code for the dataset's language is unk.


Dataset Structure
-----------------


### Data Instances


A sample from this dataset looks as follows:


### Dataset Fields


The dataset has the following fields (also called "features"):


### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:




### Languages


The BCP-47 code for the dataset's language is unk.


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


The dataset has the following fields (also called "features"): ### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:
TAGS
#task_categories-image-classification #region-us 
 ### Languages


The BCP-47 code for the dataset's language is unk.


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


The dataset has the following fields (also called "features"): ### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:
passage: TAGS
#task_categories-image-classification #region-us 
### Languages


The BCP-47 code for the dataset's language is unk.


Dataset Structure
-----------------### Data Instances


A sample from this dataset looks as follows:### Dataset Fields


The dataset has the following fields (also called "features"):### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow: