README.md

---
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"
}
```