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Autotrain Reconocimiento Banderas 2960885598

Developed by Pafebla
This is a multi-category image classification model trained using AutoTrain, specifically designed for flag recognition tasks.
Downloads 18
Release Time : 1/19/2023

Model Overview

The model can classify input images and identify the type of flag in the image. Suitable for applications related to flag recognition.

Model Features

High Accuracy
Achieves 95% accuracy on the validation set, demonstrating excellent performance.
Balanced Performance
Macro F1 score of 0.943, indicating balanced performance across different categories.
Low-emission Training
The training process produced only 1.3324 grams of CO2 equivalent emissions, making it environmentally friendly and efficient.

Model Capabilities

Image classification
Flag recognition
Multi-category prediction

Use Cases

Education
National Flag Recognition Teaching
Used as a teaching tool for national flag recognition in educational settings
High accuracy helps students quickly identify flags of different countries
Tourism
Tourist Attraction Flag Recognition
Identify various flags at tourist attractions
Helps tourists understand relevant information about the attractions
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