When deploying wildlife monitoring models to remote cameras in the field (known as camera traps), a common challenge is dealing with unexpected animal species that were not accounted for during training. For instance, the camera may misclassify a wolverine as a wolf because "wolverine" was not included in the dataset, but it shares enough features with the wolf to generate a false detection.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/adaptive-camera-trap-leveraging-gpt-4o-and-edge-megadetector-approach-to-identify-and-adapt-to-unknown-species-2