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crossprism/travel_sa_landmarks
travel_sa_landmarks is a image classification model from crossprism. Use it when you need a label for an image. The card lists the license as apache-2.0.
Predicts South American landmarks from a set of 2214 classes. Output is logits.
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From the Hugging Face model README
Predicts South American 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.