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Finetuned ViT Human Action Recognition V1

Developed by DrishtiSharma
An image classification model fine-tuned on the Human Action Recognition dataset based on Google Vision Transformer (ViT)
Downloads 18
Release Time : 9/1/2022

Model Overview

This model is based on Google's ViT-base-patch16-224-in21k pre-trained model, fine-tuned on the Human_Action_Recognition dataset, specifically designed for human action recognition tasks.

Model Features

Based on ViT Architecture
Utilizes the advanced Vision Transformer architecture to effectively capture global relationships in images.
Domain-Specific Fine-tuning
Fine-tuned specifically on the human action recognition dataset to optimize action recognition performance.
Transfer Learning
Leverages the visual feature extraction capabilities of the pre-trained model, adapting to specific tasks through fine-tuning.

Model Capabilities

Image Classification
Human Action Recognition
Video Frame Analysis

Use Cases

Intelligent Surveillance
Behavior Analysis
Recognition and analysis of human behaviors in surveillance videos
Sports Analysis
Athlete Action Recognition
Identifying and analyzing specific actions of athletes
Human-Computer Interaction
Gesture Recognition
Recognizing user gestures for interaction
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