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Timesformer Base Finetuned K400 Finetuned Olimpics Sport Subset
A video action recognition model based on TimeSformer architecture, pre-trained on Kinetics-400 dataset and fine-tuned for Olympic sports subset
Downloads 25
Release Time : 5/25/2023
Model Overview
This model uses TimeSformer architecture for video action recognition, specifically optimized for sports action classification tasks, achieving 96.89% accuracy on the evaluation set
Model Features
High-Precision Action Recognition
Achieves 96.89% classification accuracy on Olympic sports subset
Spatiotemporal Attention Mechanism
Adopts TimeSformer architecture to process both spatial and temporal dimension information
Transfer Learning Optimization
Fine-tuned based on Kinetics-400 pre-trained model to enhance domain-specific performance
Model Capabilities
Video Action Classification
Sports Action Recognition
Temporal Video Analysis
Use Cases
Sports Analysis
Olympic Action Recognition
Automatically identifies and classifies actions in various Olympic sports events
96.89% classification accuracy
Video Content Analysis
Automatic Sports Video Tagging
Automatically adds action labels to sports training videos
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