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travel_na_landmarks
crossprism/travel_na_landmarks
travel_na_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 North American landmarks from a set of 10502 classes. Output is logits.
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At a glance
- Task
- Image Classification
- License
- apache-2.0
- Access
- Public
- Created
- Jun 6, 2024
- Updated
- Nov 6, 2024
- SHA
- 44f9f83a
Model card
From the Hugging Face model README
Predicts North American landmarks from a set of 10502 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.
- Task
- Image Classification
- License
- apache-2.0
- Created
- Jun 6, 2024
- Updated
- Nov 6, 2024