Poultry Birds Poo Imagery Dataset for Health Status Prediction

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...

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Hauptverfasser: Adebayo, Segun, Aworinde, Halleluyah, Akinwunmi, Akinwale, Alabi, Olufemi, Ayandiji, Adebamiji, Sakpere, Aderonke
Format: Dataset
Sprache:eng
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Beschreibung
Zusammenfassung: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.
DOI:10.5281/zenodo.8122336