crossprism/travel_africa_landmarks

Predicts Africa landmarks from a set of 2214 classes. Output is logits.

Trained on data from: https://github.com/cvdfoundation/google-landmark

Classification head built on top of EfficentnetV2-M-21k feature extractor for CrossPrism on MacOS.

Compressed using 8-bit quantization.