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Videomae Base Finetuned Ucf101

Developed by nateraw
Video action recognition model fine-tuned on UCF101 dataset based on VideoMAE Base model
Downloads 130
Release Time : 11/10/2022

Model Overview

This model is a fine-tuned version of the VideoMAE Base model on the UCF101 dataset, primarily used for video action recognition tasks.

Model Features

Video Action Recognition
Capable of recognizing specific actions in videos, applicable to 101 action categories in the UCF101 dataset
Based on VideoMAE Architecture
Utilizes the VideoMAE Base model as the foundational architecture, featuring efficient video feature extraction
Data Augmentation Processing
Uses PyTorchVideo's MixVideo for mixup/cutmix augmentation during training

Model Capabilities

Video Action Recognition
Video Feature Extraction
Video Classification

Use Cases

Video Analysis
Action Recognition
Recognize human actions in videos
Achieves 75.8% accuracy on the UCF101 dataset
Video Content Classification
Classify video content
Top 5 accuracy reaches 89.8%
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