# Multi-class Recognition

This is an image classification model based on the Apache-2.0 license, specifically designed to recognize 30 different types of plants.

An EfficientNetB4 image classification model fine-tuned on the Food101 dataset, capable of recognizing 101 food categories

Counter-Strike 2 (CS2) player object detection model based on YOLOv9 architecture, capable of recognizing player characters in the game

Object detection model based on YOLOv9, adapted for Transformers.js, capable of running in a browser

An indoor scene classification model based on YOLOv8, used for recognizing and classifying various indoor scenes.

This is a multi-class image classification model trained via AutoTrain, demonstrating perfect classification performance on test datasets

A gastrointestinal image classification model based on ViT architecture for diagnosing various conditions from colonoscopy images

This is a model for real estate scene image classification, capable of recognizing 30 different real estate-related scenes.

A Chinese text classification model based on the DistilBERT architecture, trained on 4 categories: ['Women', 'Sports', 'Literature', 'Campus'].