Project Description: We implemented a machine learning based project to classify animals by their faces using pictoblox. Pictoblox is one of the best tools for AI/ML implementation using blocks.
Camera traps are increasingly used to remotely observe wildlife over large geographical areas with minimal human involvement and have made considerable contributions to ecology.
A common limitation is these methods lead to a large accumulation of images which must be first classified to be used in ecological studies.
Recently, machine learning has emerged as a potential solution for automatically classifying images from camera traps. So, we used ML to our project.
You can monitor over here on the screen, We have added three different animals bat, bear and bee to classes, 60 samples of each. After that we trained the model. And now testing our model.