AWC employs AI technology to significantly improve the efficiency and effectiveness of its conservation efforts. See the latest and greatest conservation champion technology: species taxonomy model V4 and Felixer 3.2.
Species detection and identification can be a huge challenge for our staff as camera traps capture millions of images, all of which need to be classified. Trolling this data takes a ton of time (and caffeine), and manually filtering every single image triggered by leaves swaying in the breeze is no easy task for the faint of heart.
This is where our machine learning technology comes into play. Our Species Classifier model has been “trained” to identify common species in a given region, drawing its knowledge from a set of over 1 million images to identify species with over 95% accuracy. To do. This training takes time, but the results are very promising…
