MSU Poultry Piling Dataset

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Authors: Daniel Morris, Yunfei Long, Benjamin Smith, Janice M. Siegford
Cited by: 0

Abstract

The dataset consists of overhead images of brown hens in aviaries at Michigan State University. They are divided into positives (piling instances) and negatives (non-piling instances). They are further divided into train, val and test sets. It can be used to train an image-based piling detector. The number of images in each category are given in the table. | Folder | Positives | Negatives | Total | |--------|-----------|-----------|-------| | Train | 2283 | 5279 | 7562 | | Val | 261 | 592 | 853 | | Test | 1276 | 1572 | 2848 | Total number of images: 11263 ## Piling Definition A positive piling image is one containing a cluster of at least 10 chickens that are sufficiently tightly packed such that individual body outlines are not discernible. This is distinct from an image of crowded chickens that are not so tightly packed and their outlines are visible. ## Ethical Statement Institutional Animal Care and Use Committee (IACUC) approval, PROTO202200159, was obtained at Michigan State University for experiments. All procedures were performed in compliance with Michigan laws and institutional guidelines.

Fields of Study & Subjects

Smart Agriculture and AI Animal Behavior and Welfare Studies Advanced Neural Network Applications

Publication details

Journal / source
Mendeley Data
Publication date
15 February 2026
Language
EN
Document type
Dataset