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README.md
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license: apache-2.0
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license: apache-2.0
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tags:
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- travel
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- africa
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---
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Predicts South American landmarks from a set of 2214 classes. Output is logits.
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Trained on data from: https://github.com/cvdfoundation/google-landmark
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Classification head built on top of EfficentnetV2-M-21k feature extractor for [CrossPrism](https://apps.apple.com/us/app/crossprism-photo-labeler/id1638429352?mt=12) on MacOS.
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Compressed using 8-bit quantization.
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