Deep Neural Networks in Medical Microbiology for Bacterial Colonies Classification: Curated Dataset (COCO and YOLO)

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Authors: José Duarte Pinho Pereira
Cited by: 0

Abstract

This deposit contains a frozen snapshot of the “Micro Colonies” curated dataset exported from Roboflow (version v11) in COCO format. The dataset includes 165 images of agar plates with 1,801 annotated bacterial colonies across three species, split into predefined train, validation, and test folders. Annotations are provided as COCO JSON files located at train/_annotations.coco.json, valid/_annotations.coco.json, and test/_annotations.coco.json. This snapshot is intended to support reproducibility of the experiments reported in the associated manuscript on deep learning based bacterial colony detection and classification.

Fields of Study & Subjects

Cell Image Analysis Techniques Advanced Neural Network Applications Smart Agriculture and AI

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 February 2026
Language
EN
Document type
Dataset