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Wound Classification Using DL #154

Merged
merged 1 commit into from
Jun 9, 2024
Merged

Wound Classification Using DL #154

merged 1 commit into from
Jun 9, 2024

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aaradhyasinghgaur
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Closes :- #148
What I've done :-

  1. Utilizing 5 models such as DenseNet121 , Xception, VGG16, ResNet50, and InceptionV3 for image classification.
  2. Applying data augmentation (rotation, zooming, flipping, shearing, brightness) to enhance dataset robustness.
  3. Comparing model performance using accuracy scores, loss/accuracy graphs, and confusion matrices.
  4. Conducting EDA for dataset insights, including image distribution, quality, class imbalances, and sample visualization.
  5. Documening the process in a comprehensive README file.

@aaradhyasinghgaur
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@TAHIR0110 kindly review my pr and merge it in case of no problems please.

@TAHIR0110 TAHIR0110 merged commit 33901ed into TAHIR0110:main Jun 9, 2024
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@TAHIR0110 TAHIR0110 added level3 gssoc Associated with GSSOC labels Jun 9, 2024
@sanjay-kv
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https://github.com/TAHIR0110/ThereForYou
@aaradhyasinghgaur as per guideline only 200 points can be given here

@sanjay-kv sanjay-kv removed the level3 label Jun 27, 2024
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@aaradhyasinghgaur @sanjay-kv @TAHIR0110