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Autotrain Ia Useful Covers 3665397856
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Autotrain Ia Useful Covers 3665397856

Developed by davanstrien
This is a binary classification model trained using AutoTrain, primarily for image classification tasks, with high accuracy and recall rates.
Image Classification
Transformers
#High-precision image classification#Medical image recognition#Low-emission training
Downloads 17
Release Time : 2/22/2023

Model Overview

This model is a binary classification model trained on the AutoTrain framework, suitable for image classification tasks in the visual domain. Through automated training process optimization, the model performs excellently on the validation set.

Model Features

Efficient Auto-Training
Uses the AutoTrain framework to automatically optimize the training process without manual parameter tuning.
High Performance Metrics
Achieves 92.4% accuracy and 0.962 AUC on the validation set.
Low Carbon Emission
The training process produces only 0.0048 grams of CO2 emissions, making it environmentally friendly.

Model Capabilities

Image classification
Binary decision-making
Feature extraction

Use Cases

Quality Control
Product Defect Detection
Detects whether products on the production line have defects.
92.4% accuracy, 87.5% recall rate.
Medical Imaging
Disease Screening
Assists in determining whether medical images show specific disease features.
F1 score 0.824.
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