Timesformer Base Finetuned K600
TimeSformer is a video classification model pretrained on the Kinetics-600 dataset, utilizing a spatiotemporal attention mechanism to process video data.
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Release Time : 10/7/2022
Model Overview
This model is primarily used to classify videos into one of the 600 possible categories in the Kinetics-600 dataset, employing a Transformer architecture to process spatiotemporal features of videos.
Model Features
Spatiotemporal Attention Mechanism
Employs a Transformer architecture to simultaneously process spatial and temporal dimensions of video information
Large-scale Pretraining
Pretrained on the Kinetics-600 dataset, which includes 600 action categories
End-to-End Video Understanding
Learns spatiotemporal features directly from raw video frames without the need for handcrafted features
Model Capabilities
Video Classification
Action Recognition
Spatiotemporal Feature Extraction
Use Cases
Video Content Analysis
Action Recognition
Identify the action categories of people in videos
Can recognize 600 actions in Kinetics-600
Video Content Classification
Automatically classify video content
Intelligent Surveillance
Abnormal Behavior Detection
Detect abnormal behaviors in surveillance videos
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