OttoYu/TreeDemoData
AutoTrain Dataset for project: tree-classification Dataset Description This dataset has been automatically processed by AutoTrain for project tree-classification. Languages The BCP-47 code for the dataset's language is unk. Dataset Structure Data Instances A sample from this dataset looks as follows: [ { "image": "<194x259 RGB PIL image>", "target": 0 }, { "image": "<259x194 RGB PIL image>"… See the full description on the dataset page: https://huggingface.co/datasets/OttoYu/TreeDemoData.
AutoTrain Dataset for project: tree-classification
Dataset Description
This dataset has been automatically processed by AutoTrain for project tree-classification.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<194x259 RGB PIL image>",
"target": 0
},
{
"image": "<259x194 RGB PIL image>",
"target": 9
}
]Dataset Fields
The dataset has the following fields (also called "features"):
{
"image": "Image(decode=True, id=None)",
"target": "ClassLabel(names=['Araucaria columnaris', 'Archontophenix alexandrae', 'Bischofia javanica', 'Callistemon viminalis', 'Casuarina equisetifolia', 'Cinnamomum burmannii', 'Dicranopteris pedata', 'Hibiscus tiliaceus', 'Livistona chinensis', 'Machilus chekiangensis', 'Melaleuca cajuputi subsp. cumingiana', 'Psychotria asiatica', 'Terminalia mantaly'], id=None)"
}Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow: