Musical Instruments Image Classification #798
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@invigorzz313 @Niketkumardheeryan kindly review my pr and in case of no problems merge it with suitable label please. |
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@aaradhyasinghgaur The requirements.txt file should be properly written. You could optionally include versions but the descriptions should be commented |
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Closes :- #787
Approach I took :- 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.
I have worked on this issue..kindly review my pr and in case of no problems merge it with suitable lable (Level-3) if possible as I have tarined the entire set on 5 different models with excellent accuracy.