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Videomae Base Finetuned Kinetics 0408 Final 45sec Org

Developed by d2o2ji
A video understanding model fine-tuned based on MCG-NJU/videomae-base-finetuned-kinetics, achieving an accuracy of 90.97% on the evaluation set
Downloads 26
Release Time : 4/7/2025

Model Overview

This model is a video classification model based on the VideoMAE architecture, specifically optimized for action recognition tasks.

Model Features

High Accuracy
Achieves 90.97% accuracy on the evaluation set
Based on VideoMAE Architecture
Utilizes the Video Masked Autoencoder pre-training framework
Long Video Processing
Supports video inputs up to 45 seconds in length (inferred from the model name)

Model Capabilities

Video Action Recognition
Temporal Behavior Analysis
Video Content Understanding

Use Cases

Video Analysis
Action Recognition
Recognize human actions in videos
90.97% accuracy
Behavior Analysis
Analyze temporal behavior patterns in videos
Intelligent Surveillance
Abnormal Behavior Detection
Detect unusual actions in surveillance videos
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