Niketkumardheeryan / ML-CaPsule

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
MIT License
333 stars 294 forks source link

Musical Instruments Image Classification #798

Open aaradhyasinghgaur opened 3 weeks ago

aaradhyasinghgaur commented 3 weeks ago

Closes :- #787 Approach I took :- 1. Utilizing 5 models such as DenseNet121 , Xception, VGG16, ResNet50, and InceptionV3 for image classification.

  1. Applying data augmentation (rotation, zooming, flipping, shearing, brightness) to enhance dataset robustness.
  2. Comparing model performance using accuracy scores, loss/accuracy graphs, and confusion matrices.
  3. Conducting EDA for dataset insights, including image distribution, quality, class imbalances, and sample visualization.
  4. 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.

aaradhyasinghgaur commented 3 weeks ago

@invigorzz313 @Niketkumardheeryan kindly review my pr and in case of no problems merge it with suitable label please.

invigorzz313 commented 2 weeks ago

@aaradhyasinghgaur The requirements.txt file should be properly written. You could optionally include versions but the descriptions should be commented