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Ai Image Detector Dev Deploy

Developed by haywoodsloan
This is an auto-trained image classification model capable of recognizing multiple common object categories
Image Classification
TensorBoard
#High-precision image classification#Multi-category object recognition#Automated visual inspection
Downloads 59
Release Time : 1/13/2025

Model Overview

The model uses a transformer architecture for image classification tasks, accurately identifying object categories in images such as animals, everyday items, and buildings

Model Features

High Accuracy
The model achieves over 98% accuracy on the validation set with an F1 score as high as 0.985
Multi-category Recognition
Capable of recognizing various object categories including animals, everyday items, and buildings
Auto-training Optimization
Uses auto-training techniques to optimize model performance

Model Capabilities

Image classification
Object recognition
Multi-category classification

Use Cases

Content Moderation
Automatic Image Classification
Used for automatically classifying uploaded image content on social media platforms
Accurately identifies object categories in images
Smart Photo Albums
Automatic Photo Sorting
Provides automatic classification for mobile photo albums
Automatically sorts photos into different albums based on content
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