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  - Human
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  - Non-Human
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  - biology
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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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+
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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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+
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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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+ ```