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crossprism/travel_australia_antarctica_landmarks
travel_australia_antarctica_landmarks is a machine learning model from crossprism. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Predicts Australia and Antarctica landmarks from a set of 1347 classes. Output is logits.
Downloads · 30 days
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From the Hugging Face model README
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.