Omnivision_Classifier
Model Description
An advanced Computer Vision model trained to classify 30 highly overlapping classes from the CIFAR-100 dataset using ConvNeXtTiny.
Files in this Repository
best_model.keras: The trained Keras model weights.class_names.json: List of the 30 selected classes.model_comparison.csv: A CSV file comparing the performance metrics of different models.
Trained Classes (30)
Fruits & Vegetables, Large Carnivores, Large Omnivores, Small Mammals, Vehicles, People.
- Downloads last month
- 66
# 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")