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Amber Mines

Developed by wendys-llc
A binary classification image classification model trained with AutoTrain, performing excellently on the validation set
Downloads 16
Release Time : 3/20/2023

Model Overview

This is a binary classification image classification model trained using the AutoTrain platform, capable of accurately identifying the category of input images. The model achieved 95% accuracy on the validation set and is suitable for applications requiring fast image classification.

Model Features

High accuracy
Achieved 95% accuracy on the validation set, demonstrating excellent performance
Fast training
Automatically trained using the AutoTrain platform, saving development time
Low carbon emissions
The training process produced only 0.421 grams of CO2 equivalent emissions

Model Capabilities

Image classification
Binary classification
Visual recognition

Use Cases

Image recognition
Object recognition
Identify whether an image contains a specific object
95% accuracy
Quality control
Detect whether products meet quality standards
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