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
Upload training_config.yaml with huggingface_hub
Browse files- training_config.yaml +30 -0
training_config.yaml
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class_names:
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- tiger
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- leopard
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- black_bear
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- other_carnivores
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- deer
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- wild_boar
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- buffalo
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- rhino
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- elephant
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- bird
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class_directories:
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- class_1
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- class_2
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- class_3
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- class_4
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- class_5
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- class_6
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- class_7
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- class_8
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- class_9
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- class_10
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image_size: 224
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seed: 42
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backbone: EfficientNetV2M
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preprocessing:
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resize:
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- 224
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- 224
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channels: rgb
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