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SiddharthMaverick/PCB_Defect_Classification_Deep_Learning

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We have used Three different models, i.e InceptionV3, VGG16 and EfficientNet for Classification of Defects in PCB images . We have a dataset of 10013 PCB images ,out of which 8012 images are used as train data and 2001 images are used as test data

active 2024-04-072025-02-08 (UTC)

Complete coverage26,758 / 26,758 hourly files (100%) · 2 absent upstream2023-08-152026-09-02 (UTC)
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15
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6
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0
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1
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1

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Line chart, 308 days from 2024-04-07 to 2025-02-08. Pushes: 6 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.

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SiddharthMaverick6600

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