Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
File size: 1,042 Bytes
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---
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")
``` |