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  • Rank 1,934,467 (Top 39 %)
  • Language
    Jupyter Notebook
  • Created about 3 years ago
  • Updated about 3 years ago

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Repository Details

This project involves computer vision and transfer learning to detect the basic biomedical equipment as diagnostic and therapeutic. This method uses the mobilenetv2 model and was able to achieve about 90% accuracy.

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1

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this project is all about the pretrained CNN(mobilenetv2) which is capable of differentiating toxic plants from safe plants using transfer learning.
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2

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3

mnist

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fashion_mnist

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7

heamophilia_predictor

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12

OCT-classification

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13

cifar-10

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14

medical_waste_segregation

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15

covid-prediction

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ML-project--EEG-control-test-prediction

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20

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21

ML-project--breast-cancer-prediction--coimbra-dataset

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22

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23

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25

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26

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36

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