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:

from datasets import load_dataset

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