Violation Classification - Bantai Vit - V80ep Open - Source Violation Image Classification Model - Identify Violation Images with Over 95% Accuracy

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Violation Classification Bantai Vit V80ep

Developed by AykeeSalazar

A violation image classification model fine-tuned from Google's ViT model, achieving 95.6% accuracy

Image Classification

Transformers

Open Source License:Apache-2.0 #High-precision image classification #ViT fine-tuned model #Violation detection

Downloads 31

Release Time : 4/3/2022

Model Overview

This model is a fine-tuned version of Google's ViT-base-patch16-224-in21k model for image classification tasks, specifically designed for violation content classification, demonstrating excellent performance on evaluation datasets.

Model Features

High Accuracy

Achieves 95.6% classification accuracy on evaluation datasets

Based on ViT Architecture

Utilizes the Vision Transformer base architecture with powerful image understanding capabilities

Fine-tuning Optimization

Underwent 80 epochs of meticulous fine-tuning on specific datasets

Model Capabilities

Image classification

Violation content recognition

High-precision visual analysis

Use Cases

Content Moderation

Violation Content Detection

Automatically identifies violation content in images

95.6% accuracy

Image Analysis

Image Classification

Multi-category classification of images

Property	Details
Model Type	Fine - tuned version of google/vit-base-patch16-224-in21k
Training Data	image_folder dataset
Metrics	Accuracy: 0.9559725730783111 (on the evaluation set, Loss: 0.1974)

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.797	4.95	500	0.3926	0.8715
0.3095	9.9	1000	0.2597	0.9107
0.1726	14.85	1500	0.2157	0.9253
0.1259	19.8	2000	0.1870	0.9392
0.0959	24.75	2500	0.1797	0.9444
0.0835	29.7	3000	0.2293	0.9354
0.0722	34.65	3500	0.1921	0.9441
0.0628	39.6	4000	0.1897	0.9491
0.059	44.55	4500	0.1719	0.9520
0.0531	49.5	5000	0.1987	0.9513
0.046	54.45	5500	0.1713	0.9556
0.0444	59.4	6000	0.2016	0.9525
0.042	64.36	6500	0.1950	0.9525
0.0363	69.31	7000	0.2017	0.9549
0.037	74.26	7500	0.1943	0.9551
0.0343	79.21	8000	0.1974	0.9560

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Violation Classification Bantai Vit V80ep

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 violation-classification-bantai-vit-v80ep

🚀 Quick Start

📚 Documentation

Model Information

Training and Evaluation

Training hyperparameters

Training results

Framework versions

📄 License