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Autotrain Bikes Ag 41243106351

Developed by mouss
This is a multi-category image classification model trained using AutoTrain, excelling on bicycle-related datasets.
Downloads 17
Release Time : 3/15/2023

Model Overview

This model is specifically designed for image classification tasks, capable of accurately identifying and categorizing bicycle-related images.

Model Features

High Accuracy
Achieves 93.6% accuracy on the validation set, demonstrating excellent performance.
Balanced Performance
Both macro and micro average F1 scores are 0.936, indicating balanced performance across different categories.
Eco-friendly Training
The training process produces only 1.381 grams of CO2 equivalent emissions.

Model Capabilities

Image classification
Multi-category recognition
Bicycle-related image analysis

Use Cases

Transportation
Bicycle Classification and Recognition
Can be used for vehicle type identification in shared bicycle management systems.
Accurately identifies different types of bicycles.
Retail & E-commerce
Product Image Classification
Used for automatic categorization of bicycle-related products on e-commerce platforms.
Improves efficiency and accuracy of product classification.
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