Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
License:
File size: 1,217 Bytes
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---
license: mit
task_categories:
- image-classification
language:
- en
size_categories:
- n<1K
splits:
- name: train
MB: 20.4
num_examples: 1050
- name: test
MB: 3.29
num_examples: 150
download_size: 24 MB
dataset_size: 1050
---
### Dataset Summary
Mini(24 MB) Classification dataset for mini projects.
Cats, dogs and rabbit are included as pet in this dataset.
### Supported Tasks and Leaderboards
image-classification: Based on a pet image, the goal of this task is to predict the type of pet (i.e., dog or cat or rabbit).
### Languages
English
### Class Label Mappings:
```json
{
"cat": 0,
"dog": 1,
"rabbit": 2,
}
```
### Load Dataset
```python
from datasets import load_dataset
train_dataset = load_dataset("rokmr/pets", split="train")
test_dataset = load_dataset("rokmr/pets", split="test")
#To view label
print(train_dataset[0]["label"])
#To view image
train_dataset[0]["image"]
```
![image](https://raw.githubusercontent.com/rokmr/Deep-Learning-In-Computer-Vision/main/datasets/pet_dataset.png)
### Citation Information
```
@ONLINE {mini_pets,
author="Rohit Kumar",
title="Pets dataset",
month="July",
year="2023",
url="https://github.com/rokmr"
}
``` |