Image Classification
Keras
conservation
object-detection
tiger
camera-traps
wildlife
species-classification
megadetector
Instructions to use alexvmt/TeraiNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use alexvmt/TeraiNet with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://alexvmt/TeraiNet") - Notebooks
- Google Colab
- Kaggle
Add new classes
Browse files- class_list.yaml +9 -4
- model.h5 +2 -2
class_list.yaml
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'1': tiger
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'1': tiger
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'10': bird
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'2': leopard
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'3': black_bear
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'4': other_carnivores
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'5': deer
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'6': wild_boar
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'7': buffalo
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'8': rhino
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'9': elephant
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model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:dd1ea5c75784d09b4dfd02a1deddb4b7636ebe19174d895bd75db62c7e041f45
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size 213648984
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