Image Classification
Keras
LiteRT
TF-Keras
Safetensors
English
efficientnetv2-s
efficientnetv2
fgic
transfer-learning
gem-pooling
focal-loss
swa
grad-cam
calibration
temperature-scaling
computer-vision
tensorflow.js
Eval Results (legacy)
Instructions to use 0xgr3y/Arch-Building-Image-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use 0xgr3y/Arch-Building-Image-Classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://0xgr3y/Arch-Building-Image-Classification") - Notebooks
- Google Colab
- Kaggle
Add TF-Lite model + label.txt (mobile/embedded)
Browse files- tflite/label.txt +6 -0
- tflite/model.tflite +3 -0
tflite/label.txt
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bridge
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castle
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mosque
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skyscraper
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stadium
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temple
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tflite/model.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:bc2e6e17e16513ea9428fc17e43e7d826bc5fc09cd3082b9f0e08e815246a815
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size 37606180
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