README.md

metadata

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:

{
  "cat": 0,
  "dog": 1,
  "rabbit": 2,
}

Load Dataset

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"]

Citation Information

@ONLINE {mini_pets,
    author="Rohit Kumar",
    title="Pets dataset",
    month="July",
    year="2023",
    url="https://github.com/rokmr"
}