Computer vision methods used to analyse camera trap photos are usually computationally expensive, require large training datasets and typically focus on only one species per photograph or rely on static backgrounds between sequential images. In contrast, our proposed method requires only an entry-level computer and relatively few training data while handling multi-species photos with changing backgrounds. It is able to distinguish between four large mammal species common to the Iona–Skeleton Coast TFCA, namely giraffe, impala, oryx and zebra. Trained on