Instructions to use syeda-Rija20/image-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use syeda-Rija20/image-detector with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://syeda-Rija20/image-detector") - Notebooks
- Google Colab
- Kaggle
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# AI Image Detector
This model was fine-tuned using MobileNetV2 on CIFAKE dataset.
## Features
- Transfer Learning
- Fine-Tuning
- Binary Classification
- Detects AI vs Real Images
## Accuracy
~92-96%
## Framework
TensorFlow / Keras
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