Assessing the size and trends of animal populations is a long-standing challenge in wildlife ecology which requires sufficient and reliable data. However, the collection of data in the field can be daunting and time-consuming. Recent technological advances in hardware have led to the adoption of automated camera traps as research instruments. Camera traps, equipped with infrared motion-triggered sensors, can provide a reliable and cost-effective tool for the collection of long-term monitoring data. Besides the fact that these cameras are a time-efficient tool for data collection, it is also a non-invasive technique causing low levels of disturbance as no animals need to be captured or killed. 

Camera traps are deployed at a location for a specific duration and generate large quantities of images that may or may not include the species of interest.  

Information that can typically be derived from camera trap images include animal species, number of individuals, their sex, age class and behaviour, and, in case the animals are individually tagged, their name or tag code. Images are often captured in a burst, which allows us to better understand their behaviour or to measure their walking speed.  

 Most wildlife researchers are mainly interested in a selected group of animal species. Whereas carnivore specialists meticulously filter out those pictures containing carnivorous species, bird experts could find a valuable source of information in the discarded pictures containing birds. In order to fully understand causes and pathways of ecological challenges such as a reduced biodiversity and changing species compositions due to climate change and the introduction of invasive alien species, it is of utmost importance that conservation scientists collaborate and share as much information as possible with the scientific community. 

The camera trap network was started in 2017 with the installation of a large set of high-quality camera traps (Reconyx Hyperfire). All cameras are protected using anti-theft cases and python locks. Images are recorded on SD-cards which get manually replaced after a predetermined time. We then upload our images and videos to Agouti where images are classified in sequences and get annotated, either manually or using AI. In order to enable the publication of FAIR (findable, accessible, interoperable and reproducible) camera trap data, the data exchange format camtrap DP was developed with and by the international community of camera trappers.