Instructions to use chabdullah0566/Omnivision_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use chabdullah0566/Omnivision_Classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://chabdullah0566/Omnivision_Classifier") - Notebooks
- Google Colab
- Kaggle
| Model,Accuracy,Precision,Recall,F1 | |
| ConvNeXtTiny,0.8457,0.8474,0.8457,0.8452 | |
| EfficientNetV2B3,0.8267,0.8281,0.8267,0.8262 | |
| MobileNetV3Large,0.8057,0.8068,0.8057,0.8049 | |
| ResNet50V2,0.758,0.7586,0.758,0.7568 | |