A simple binary labelling processor for images downloaded through a URL.
This repository serves as a functional Tool to aid in the the bachelor Thesis investigating the capability of meta-data usage in combination with wildlife image classification. For more information please review https://github.com/trav-d13/spatiotemporal_wildlife_classification.
In order to use this simple program, simply execute the main method.
An image will be presented as a pop-up. Please select enter 1 for the positive case (Present/ Good),
or alternatively press 0 for the negative case (Absent/ Bad).
Label images with Present or Absent in order to create a dataset, whereby the aim is to determine a pre-processing classifier capable
of detecting if an image contains an animal within it.
Please specify the file_name within main.
Additionally, please ensure the binary labels are Present or Absent at line 6.
Label images with Good or Bad quality, in order to generate a dataset, whereby the aim is to generate a model
capable of assessing the quality of an image, as a preprocessing step before wildlife classification.
Please specify the file_name within main.
Additionally, please ensure the binary labels are Good or Bad at line 6.