README.md

---
license: apache-2.0
language:
- en
task_categories:
- image-classification
size_categories:
- 10K<n<100K
tags:
- Human
- Non-Human
- biology
---

# Human-vs-NonHuman Dataset  

## Dataset Description  
The **Human-vs-NonHuman** dataset is a collection of images designed for **image classification** tasks. The dataset consists of labeled images categorized into two classes:  

1. **Human (Label: 0)**  
2. **Non-Human (Label: 1)**  

The dataset is useful for training and evaluating models in tasks such as **human detection**, **biological classification**, and **AI-assisted filtering systems**.  

## Dataset Details  
- **Total Samples**: 15,635 images  
- **Image Size**: 224x224 pixels  
- **Classes**:  
  - **Human (0)**
  - **Non-Human (1)**  
- **File Format**: PNG/JPG (Auto-converted to Parquet)  
- **Dataset Size**: 116MB  

## Usage  
You can use this dataset with Hugging Face's `datasets` library as follows:  

```python
from datasets import load_dataset

dataset = load_dataset("prithivMLmods/Human-vs-NonHuman")
```