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Carvit
C
Carvit
Developed by abdusah
CarViT is a car logo classifier based on the Vision Transformer architecture, capable of recognizing logos from 40 different car manufacturers.
Downloads 73
Release Time : 3/26/2022
Model Overview
This model specializes in image classification tasks, specifically designed to identify various car brand logos with an accuracy rate of 81.22%.
Model Features
High Accuracy
Achieves an accuracy rate of 81.22% in car logo classification tasks.
Wide Coverage
Supports recognition of logos from 40 different car manufacturers.
ViT-Based Architecture
Utilizes the Vision Transformer architecture, leveraging attention mechanisms for image feature processing.
Model Capabilities
Car Logo Recognition
Car Brand Classification
Image Analysis
Use Cases
Intelligent Transportation
Parking Lot Vehicle Brand Statistics
Identifies the manufacturer brands of vehicles entering and exiting via surveillance cameras for business analysis and traffic statistics.
Automatically calculates the proportion of each brand's vehicles, providing data support for business decisions.
Automotive Industry Analysis
Regional Car Brand Distribution Survey
Analyzes the distribution of car brands within a specific region.
Understands the market share of different brands in specific regions.
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