Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
Update README.md
Browse files
README.md
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- Human
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- Non-Human
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- biology
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---
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# Human-vs-NonHuman Dataset
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## Dataset Description
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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:
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1. **Human (Label: 0)**
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2. **Non-Human (Label: 1)**
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The dataset is useful for training and evaluating models in tasks such as **human detection**, **biological classification**, and **AI-assisted filtering systems**.
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## Dataset Details
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- **Total Samples**: 15,635 images
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- **Image Size**: 224x224 pixels
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- **Classes**:
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- **Human (0)**
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- **Non-Human (1)**
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- **File Format**: PNG/JPG (Auto-converted to Parquet)
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- **Dataset Size**: 116MB
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## Usage
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You can use this dataset with Hugging Face's `datasets` library as follows:
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```python
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from datasets import load_dataset
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dataset = load_dataset("prithivMLmods/Human-vs-NonHuman")
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```
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