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Introduction

The Carnivore ID application

The application is created to help categorize images according to the species and identify animals in camera trap images. Here are some useful links to get you started:

  1. I want to classify species in media files
  2. I want to identify individuals in media files
  3. I want to go to the Carnivore ID application
  4. I want to see the web presentation of the project
  5. I want to install the application
  6. I want to contact the developers

What is Carnivore ID application?

The Carnivore ID application is a web-based tool designed to assist researchers and wildlife enthusiasts in classifying and identifying carnivorous animals captured in camera trap images. The application leverages advanced machine learning algorithms to automate the process of species classification and individual identification, making it easier for users to analyze large datasets of wildlife images.

The two main usage scenarios are:

  • Taxon classification - the user can classify images according to the species
  • Individuality re-identification - the user can identify individuals in the images

Go to first steps with the application to learn more.

About the project

The project aims to research and develop new technologies related to a deep understanding of data from camera traps. The technology will greatly increase annotation effectivity, will help to reduce reaction time to urgent situations, e.g. the occurrence of a conflict species in new areas or a harmed animal, will help to improve and simplify the identification of the individuals and to refine population estimates of endangered species, and will help to find new relations in the indexed data across time and diverse locations. The developed methods and tools will improve the monitoring of invasive species. The technologies will streamline activities of public administration, namely AOPK ČR responsible for reporting species status according to Art. 17 of Habitats Directive (92/43/EEC).

Funding

The project is funded by the Technology Agency of the Czech Republic (TAČR) under the project number SS05010008-V9.