# Medium Accuracy Model

This is an image classification model based on the PyTorch framework, capable of recognizing and classifying different styles of furniture and rooms.

A visual model for tree disease classification, capable of identifying different types of tree diseases.

This is a multi-class image classification model trained using AutoTrain, capable of recognizing various common object categories

This is a visual image classification model trained using AutoTrain, specifically designed for multi-class classification tasks.

This is a multi-class image classification model trained using AutoTrain, capable of predicting the classification of input images.

This is a multi-class image classification model trained on the AutoTrain platform, capable of classifying and recognizing input images.

A tiny image classification model based on the Swin Transformer architecture, fine-tuned on an image folder dataset

An image classification model generated by HuggingPics, specifically designed to identify common bird species in China

This is a binary classification model trained via AutoTrain to distinguish between real or fake images.

An image classification model fine-tuned on an image folder dataset based on microsoft/resnet-50

An image classification model fine-tuned on the fashion_mnist_quality_drift dataset based on ResNet-50 architecture, with 73% accuracy