# Binary classification model

A vision-language encoding model fine-tuned based on SigLIP2, used for binary image classification to detect whether an image contains a watermark.

This model is used to detect whether an image is real or AI-generated, employing the Vision Transformer (ViT) architecture for precise classification.

A binary audio classification model fine-tuned from facebook/wav2vec2-base, specifically designed to distinguish between the pronunciations of 'down' and 'on'

This is a binary vision model for cat-dog classification trained with AutoTrain, demonstrating exceptionally high accuracy on test sets.

An image classification model fine-tuned for binary classification tasks based on facebook/convnext-small-224, achieving an F1 score of 0.9620 on the evaluation set

This model is a binary sentiment analysis model fine-tuned on the RoBERTa base version, specifically designed for sentiment polarity classification of Yelp reviews.