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Electric 2
E
Electric 2
Developed by smc
An image classification model based on PyTorch and HuggingPics, designed to determine whether a utility pole is equipped with a transformer.
Downloads 34
Release Time : 5/15/2022
Model Overview
This model is specifically designed to identify utility pole images and determine if they are equipped with transformers, suitable for power facility monitoring and maintenance.
Model Features
High Accuracy
The model achieved 100% accuracy in testing, reliably identifying transformers on utility poles.
PyTorch-Based
Built using the PyTorch framework, facilitating deployment and scalability.
HuggingPics Support
Utilizes HuggingPics for image processing and classification tasks.
Model Capabilities
Image Classification
Utility Pole Recognition
Transformer Detection
Use Cases
Power Facility Monitoring
Transformer Installation Detection
Automatically detects whether a transformer is installed on a utility pole for power facility maintenance.
100% Accuracy
Smart Inspection
Drone Inspection
Automatically identifies transformers on utility poles using images captured by drones.
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