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Timesformer Base Finetuned K400 Finetuned Asl
This model is a video classification model fine-tuned based on facebook/timesformer-base-finetuned-k400, achieving an accuracy of 96.25% on the evaluation set.
Downloads 74
Release Time : 2/9/2024
Model Overview
A video classification model based on the TimeSformer architecture, suitable for action recognition tasks.
Model Features
High Accuracy
Achieves 96.25% accuracy on the evaluation set.
Based on TimeSformer Architecture
Utilizes an advanced video processing architecture with spatiotemporal attention mechanisms.
Fine-tuned Version
Fine-tuned based on Kinetics-400 pre-training.
Model Capabilities
Video Classification
Action Recognition
Spatiotemporal Feature Extraction
Use Cases
Video Analysis
Sign Language Recognition
Inferred from the model name, it may be used for American Sign Language (ASL) recognition.
Accuracy 96.25%
Action Classification
Recognizes human actions in videos.
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