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Datasets:
prithivMLmods
/
Human-vs-NonHuman

Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
Human
Non-Human
biology
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
Human-vs-NonHuman / README.md
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metadata
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: 

from datasets import load_dataset

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