Edit model card

Predicts Australia and Antarctica landmarks from a set of 1347 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.

Downloads last month
6
Unable to determine this model's library. Check the docs .

Space using crossprism/travel_australia_antarctica_landmarks 1

Collection including crossprism/travel_australia_antarctica_landmarks