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Anomaly

Developed by hafidber
A PyTorch-based image classification model for detecting anomalies in images.
Downloads 32
Release Time : 4/17/2022

Model Overview

This model is primarily used for image classification tasks, excelling in detecting anomalies in images with an accuracy rate of 100%.

Model Features

High Accuracy
Achieves 100% accuracy in image classification tasks.
PyTorch-based
Built using the PyTorch framework for easy deployment and extension.

Model Capabilities

Image Classification
Anomaly Detection

Use Cases

Industrial Inspection
Product Defect Detection
Detects defects in products on the production line.
Accurately identifies defective products
Medical Imaging
Medical Image Analysis
Identifies anomalies in medical images.
Assists doctors in diagnosis
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