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Violation Classification Bantai Vit
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Violation Classification Bantai Vit

Developed by AykeeSalazar
A violation image classifier fine-tuned from Google's ViT model with 94.78% accuracy
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision image classification#Violation behavior recognition#ViT fine-tuned model
Downloads 32
Release Time : 4/3/2022

Model Overview

This model is a fine-tuned version of Google's ViT-base model for image classification tasks, specifically designed for violation content recognition. It demonstrates excellent performance on the evaluation set with an accuracy rate of 94.78%.

Model Features

High Accuracy
Achieves 94.78% classification accuracy on the evaluation set
Efficient Inference
Capable of processing 85.42 samples per second, suitable for real-time applications
ViT-based Architecture
Utilizes Vision Transformer architecture with powerful image understanding capabilities

Model Capabilities

Image classification
Violation content recognition
Batch image processing

Use Cases

Content Moderation
Social Media Content Moderation
Automatically identifies violation image content on social media platforms
94.78% accuracy
Community Management
Detects violation images uploaded by users
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