pet_finder
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Dataset with images from 5 classes (see config name for information on the
specific class)
Split |
Examples |
'test' |
14,465 |
'train' |
58,311 |
FeaturesDict({
'PetID': Text(shape=(), dtype=string),
'attributes': FeaturesDict({
'Age': int64,
'Breed1': int64,
'Breed2': int64,
'Color1': int64,
'Color2': int64,
'Color3': int64,
'Dewormed': int64,
'Fee': int64,
'FurLength': int64,
'Gender': int64,
'Health': int64,
'MaturitySize': int64,
'Quantity': int64,
'State': int64,
'Sterilized': int64,
'Type': int64,
'Vaccinated': int64,
'VideoAmt': int64,
}),
'image': Image(shape=(None, None, 3), dtype=uint8),
'image/filename': Text(shape=(), dtype=string),
'label': ClassLabel(shape=(), dtype=int64, num_classes=5),
})
Feature |
Class |
Shape |
Dtype |
Description |
|
FeaturesDict |
|
|
|
PetID |
Text |
|
string |
|
attributes |
FeaturesDict |
|
|
|
attributes/Age |
Tensor |
|
int64 |
|
attributes/Breed1 |
Tensor |
|
int64 |
|
attributes/Breed2 |
Tensor |
|
int64 |
|
attributes/Color1 |
Tensor |
|
int64 |
|
attributes/Color2 |
Tensor |
|
int64 |
|
attributes/Color3 |
Tensor |
|
int64 |
|
attributes/Dewormed |
Tensor |
|
int64 |
|
attributes/Fee |
Tensor |
|
int64 |
|
attributes/FurLength |
Tensor |
|
int64 |
|
attributes/Gender |
Tensor |
|
int64 |
|
attributes/Health |
Tensor |
|
int64 |
|
attributes/MaturitySize |
Tensor |
|
int64 |
|
attributes/Quantity |
Tensor |
|
int64 |
|
attributes/State |
Tensor |
|
int64 |
|
attributes/Sterilized |
Tensor |
|
int64 |
|
attributes/Type |
Tensor |
|
int64 |
|
attributes/Vaccinated |
Tensor |
|
int64 |
|
attributes/VideoAmt |
Tensor |
|
int64 |
|
image |
Image |
(None, None, 3) |
uint8 |
|
image/filename |
Text |
|
string |
|
label |
ClassLabel |
|
int64 |
|

@ONLINE {kaggle-petfinder-adoption-prediction,
author = "Kaggle and PetFinder.my",
title = "PetFinder.my Adoption Prediction",
month = "april",
year = "2019",
url = "https://www.kaggle.com/c/petfinder-adoption-prediction/data/"
}
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Last updated 2024-06-01 UTC.
[null,null,["Last updated 2024-06-01 UTC."],[],[],null,["# pet_finder\n\n\u003cbr /\u003e\n\n- **Description**:\n\nDataset with images from 5 classes (see config name for information on the\nspecific class)\n\n- **Homepage** :\n \u003chttps://www.kaggle.com/c/petfinder-adoption-prediction/data\u003e\n\n- **Source code** :\n [`tfds.datasets.pet_finder.Builder`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/datasets/pet_finder/pet_finder_dataset_builder.py)\n\n- **Versions**:\n\n - **`1.0.0`** (default): No release notes.\n- **Download size** : `1.94 GiB`\n\n- **Dataset size** : `1.90 GiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n No\n\n- **Splits**:\n\n| Split | Examples |\n|-----------|----------|\n| `'test'` | 14,465 |\n| `'train'` | 58,311 |\n\n- **Feature structure**:\n\n FeaturesDict({\n 'PetID': Text(shape=(), dtype=string),\n 'attributes': FeaturesDict({\n 'Age': int64,\n 'Breed1': int64,\n 'Breed2': int64,\n 'Color1': int64,\n 'Color2': int64,\n 'Color3': int64,\n 'Dewormed': int64,\n 'Fee': int64,\n 'FurLength': int64,\n 'Gender': int64,\n 'Health': int64,\n 'MaturitySize': int64,\n 'Quantity': int64,\n 'State': int64,\n 'Sterilized': int64,\n 'Type': int64,\n 'Vaccinated': int64,\n 'VideoAmt': int64,\n }),\n 'image': Image(shape=(None, None, 3), dtype=uint8),\n 'image/filename': Text(shape=(), dtype=string),\n 'label': ClassLabel(shape=(), dtype=int64, num_classes=5),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|-------------------------|--------------|-----------------|--------|-------------|\n| | FeaturesDict | | | |\n| PetID | Text | | string | |\n| attributes | FeaturesDict | | | |\n| attributes/Age | Tensor | | int64 | |\n| attributes/Breed1 | Tensor | | int64 | |\n| attributes/Breed2 | Tensor | | int64 | |\n| attributes/Color1 | Tensor | | int64 | |\n| attributes/Color2 | Tensor | | int64 | |\n| attributes/Color3 | Tensor | | int64 | |\n| attributes/Dewormed | Tensor | | int64 | |\n| attributes/Fee | Tensor | | int64 | |\n| attributes/FurLength | Tensor | | int64 | |\n| attributes/Gender | Tensor | | int64 | |\n| attributes/Health | Tensor | | int64 | |\n| attributes/MaturitySize | Tensor | | int64 | |\n| attributes/Quantity | Tensor | | int64 | |\n| attributes/State | Tensor | | int64 | |\n| attributes/Sterilized | Tensor | | int64 | |\n| attributes/Type | Tensor | | int64 | |\n| attributes/Vaccinated | Tensor | | int64 | |\n| attributes/VideoAmt | Tensor | | int64 | |\n| image | Image | (None, None, 3) | uint8 | |\n| image/filename | Text | | string | |\n| label | ClassLabel | | int64 | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `('attributes', 'label')`\n\n- **Figure**\n ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\n- **Citation**:\n\n @ONLINE {kaggle-petfinder-adoption-prediction,\n author = \"Kaggle and PetFinder.my\",\n title = \"PetFinder.my Adoption Prediction\",\n month = \"april\",\n year = \"2019\",\n url = \"https://www.kaggle.com/c/petfinder-adoption-prediction/data/\"\n }"]]