AGAR a microbial colony dataset for deep learning detection

08/03/2021
by   Sylwia Majchrowska, et al.
25

The Annotated Germs for Automated Recognition (AGAR) dataset is an image database of microbial colonies cultured on agar plates. It contains 18000 photos of five different microorganisms as single or mixed cultures, taken under diverse lighting conditions with two different cameras. All the images are classified into "countable", "uncountable", and "empty", with the "countable" class labeled by microbiologists with colony location and species identification (336442 colonies in total). This study describes the dataset itself and the process of its development. In the second part, the performance of selected deep neural network architectures for object detection, namely Faster R-CNN and Cascade R-CNN, was evaluated on the AGAR dataset. The results confirmed the great potential of deep learning methods to automate the process of microbe localization and classification based on Petri dish photos. Moreover, AGAR is the first publicly available dataset of this kind and size and will facilitate the future development of machine learning models. The data used in these studies can be found at https://agar.neurosys.com/.

READ FULL TEXT

page 3

page 4

page 5

page 11

page 12

page 13

page 19

page 22

research
04/18/2020

Feathers dataset for Fine-Grained Visual Categorization

This paper introduces a novel dataset FeatherV1, containing 28,272 image...
research
06/13/2022

A universal synthetic dataset for machine learning on spectroscopic data

To assist in the development of machine learning methods for automated c...
research
08/10/2023

Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models

Aphid infestation poses a significant threat to crop production, rural c...
research
10/27/2016

Detecting People in Artwork with CNNs

CNNs have massively improved performance in object detection in photogra...
research
11/11/2020

Where to drive: free space detection with one fisheye camera

The development in the field of autonomous driving goes hand in hand wit...
research
03/21/2019

Penobscot Dataset: Fostering Machine Learning Development for Seismic Interpretation

We have seen in the past years the flourishing of machine and deep learn...
research
11/30/2022

OpenApePose: a database of annotated ape photographs for pose estimation

Because of their close relationship with humans, non-human apes (chimpan...

Please sign up or login with your details

Forgot password? Click here to reset