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:
Human (Label: 0)
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.
