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travel_africa_landmarks
crossprism/travel_africa_landmarks
travel_africa_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 Africa landmarks from a set of 2214 classes. Output is logits.
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jul 7, 2024
- Updated
- Nov 6, 2024
- SHA
- 7df2fef4
Model card
From the Hugging Face model README
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.
- License
- apache-2.0
- Created
- Jul 7, 2024
- Updated
- Nov 6, 2024