Instructions to use esvinj312/nudity-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use esvinj312/nudity-detection with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://esvinj312/nudity-detection") - Notebooks
- Google Colab
- Kaggle
Nudity Detection
"The only way to get rid of a temptation is to yield to it." - Oscar Wilde
Introduction
This is a nudity detection model trained on a 5000 image dataset with 2,500 NSFW images, and 2,500 non-NSFW images. The accuracy rate is 85%. Trained using Tensorflow and Keras (Legacy).
I created this model during my learning phase of deep learning. You might find some bugs or issues, feel free to open an issue or pull request.
The corresponding github repository is here.
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