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This repository contains the complete pipeline for an edge-deployable computer vision model designed to analyze images and detect insulator defects. The model is trained to be lightweight and optimized, ensuring it runs efficiently on edge devices like the **Nvidia Jetson Nano**.
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## Dataset
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link : https://www.kaggle.com/competitions/insulator-defect-detection/data
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The model was trained and evaluated on the **Insulator Defect Detection Dataset (IDID)**. The dataset consists of images categorized into three main classes:
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- `0: good`

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