Poultry Birds Poo Imagery Dataset for Health Status Prediction: A Case of South-West Nigeria

Imagery dataset of chicken poo of both healthy and non-healthy collected from poultry farms rearing two species of chickens namely: broilers and layers in Nigeria. The dataset has a total of 14,618 labeled images with 100 × 100 pixels in jpeg format and a label indicating the name of the image from the image number. In the repository, data were uploaded into 2 separate folders; each folder of either healthy or non-healthy contain images taken from different time to the day; morning, afternoon, night and others.