Welcome to zamba's documentation!¶
Zamba means "forest" in the Lingala language.
Zamba is a tool built in Python to automatically detect and classify the species seen in camera trap videos. Using state-of-the-art computer vision and machine learning, the tool is trained to identify 42 common species from sites in Africa and Europe (as well as blank, or "no species present"). Users can also input their own labeled videos to finetune a model and make predictions for new species or new contexts. zamba can be accessed as both a command-line tool and a Python package.
Zamba ships with three model options. time_distributed and slowfast are
trained on 32 common species from central and west Africa. european is trained
on 11 common species from western Europe. time_distributed and european are image-based models while slowfast is a video-based model.