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Videomae Base Ssv2 Finetuned Rwf2000

Developed by lmazzon70
A video understanding model based on the VideoMAE architecture, fine-tuned on the RWF-2000 dataset for violence detection tasks
Downloads 30
Release Time : 1/9/2023

Model Overview

This model is a video classification model based on the VideoMAE architecture, specifically fine-tuned for violence detection tasks. It can analyze video content and identify violent behaviors.

Model Features

Video Violence Detection
A video understanding model optimized specifically for violence detection tasks
Self-supervised Pre-training
Utilizes the VideoMAE self-supervised pre-training architecture with excellent video feature extraction capabilities
Efficient Fine-tuning
Fine-tuned on the RWF-2000 dataset to adapt to specific violence detection tasks

Model Capabilities

Video Content Analysis
Violence Behavior Recognition
Video Classification

Use Cases

Public Safety
Surveillance Video Analysis
Automatically analyzes violent behaviors in surveillance videos
Accuracy 45.71%
Content Moderation
Video Content Filtering
Automatically identifies and filters violent content uploaded by users
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