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Timesformer Hr Finetuned K600
TimeSformer-HR is a video action recognition model optimized for high-resolution videos and fine-tuned on the Kinetics-600 dataset.
Downloads 17
Release Time : 8/9/2024
Model Overview
This model is a Transformer-based video action recognition model suitable for analyzing high-resolution video content and capable of identifying various action categories in videos.
Model Features
High-Resolution Video Processing
Optimized specifically for high-resolution video content, capable of handling clearer video inputs.
Transformer-Based Architecture
Utilizes an advanced Transformer architecture to effectively capture spatiotemporal features in videos.
ONNX Format Support
Provides ONNX format weights for easy web deployment and use with the Transformers.js library.
Model Capabilities
Video Action Recognition
Spatiotemporal Feature Extraction
High-Resolution Video Analysis
Use Cases
Video Content Analysis
Action Recognition
Identifies various human actions in videos, such as running, jumping, swimming, etc.
Performs excellently on the Kinetics-600 dataset
Video Classification
Classifies video content to identify the category the video belongs to.
Smart Surveillance
Anomaly Behavior Detection
Detects abnormal or suspicious behavior in surveillance videos.
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