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Violation Classification Bantai Vit Withes
V
Violation Classification Bantai Vit Withes
Developed by AykeeSalazar
A violation image classification model fine-tuned based on Google's ViT model, achieving 95.92% accuracy on the evaluation set
Downloads 17
Release Time : 4/7/2022
Model Overview
This model is an image classification model based on the ViT architecture, specifically designed to identify violation content. It performs exceptionally well on the evaluation set, achieving an accuracy of 95.92%.
Model Features
High Accuracy
Achieves 95.92% classification accuracy on the evaluation set
Efficient Inference
Capable of processing 85.37 samples per second, suitable for real-time applications
Based on ViT Architecture
Utilizes the Vision Transformer architecture with powerful feature extraction capabilities
Model Capabilities
Image Classification
Violation Content Recognition
Batch Image Processing
Use Cases
Content Moderation
Social Media Content Moderation
Automatically identifies violation content in user-uploaded images
95.92% accuracy
E-commerce Platform Moderation
Detects violation content in product images
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