# General object recognition

This is an auto-trained image classification model capable of recognizing multiple common object categories

YOLOv8s is a lightweight object detection model based on Ultralytics' YOLOv8 architecture, suitable for real-time object detection tasks.

HKDB_SDFT_Balanced_Version is a high-performance image classification model with high accuracy.

This is a multi-category image classification model trained using AutoTrain, achieving an outstanding accuracy of 98.1% on the validation set.

This is a visual image classification model trained using AutoTrain, specifically designed for binary classification tasks, demonstrating excellent performance on test data.

This is a multi-category image classification model trained using AutoTrain, demonstrating outstanding performance on the validation set with an accuracy of 94.1%.

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

A vision image classification model trained on the ImageNet-1k dataset, capable of recognizing multiple common object categories.

This is a high-performance image classification model trained via AutoTrain, achieving 99.8% accuracy on the validation set.

Image classification model generated by HuggingPics with an accuracy of 91.67%

Image classification model generated by HuggingPics with an accuracy of 94.5%

A general-purpose image classification model generated by HuggingPics, suitable for various image classification tasks.