# Video Anomaly Detection

This model is a video classification model based on the ViViT architecture, specifically fine-tuned for anomaly video detection tasks

A video analysis model fine-tuned based on MCG-NJU/videomae-base, specializing in anomaly behavior detection tasks

A video classification model fine-tuned on the UCF-CRIME dataset based on the VideoMAE framework, focusing on vandalism detection

This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 on the UCF-Crime dataset for video anomaly detection tasks.

Video understanding model based on VideoMAE architecture, pre-trained on SSv2 dataset and fine-tuned for UCF-Crime dataset

A video analysis model based on the VideoMAE base model fine-tuned on the UCF-Crime dataset for abnormal behavior detection

A video analysis model fine-tuned on the UCF-Crime dataset based on the VideoMAE foundation model

This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset, suitable for vision tasks.