metadata

task_categories:
  - image-classification

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:

[
  {
    "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"):

{
  "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