lucataco / nsfw_video_detection

FalconAIs NSFW detection model, extended for videos

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  • 10 runs
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  • Paper
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Input

Output

Run time and cost

This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

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About

Cog implementation of Falconsai/nsfw_image_detection extended for video models

Model Card

Fine-Tuned Vision Transformer (ViT) for NSFW Image Classification

Model Description

The Fine-Tuned Vision Transformer (ViT) is a variant of the transformer encoder architecture, similar to BERT, that has been adapted for image classification tasks. This specific model, named “google/vit-base-patch16-224-in21k,” is pre-trained on a substantial collection of images in a supervised manner, leveraging the ImageNet-21k dataset. The images in the pre-training dataset are resized to a resolution of 224x224 pixels, making it suitable for a wide range of image recognition tasks.

Intended Uses & Limitations

NSFW Image Classification: The primary intended use of this model is for the classification of NSFW (Not Safe for Work) images. It has been fine-tuned for this purpose, making it suitable for filtering explicit or inappropriate content in various applications.

This model will return either the word: “normal” or “nsfw”