Pharmaceutical Drugs and Vitamins Images Detection

[aaradhyasinghgaur]

Is your feature request related to a problem? Please describe. The below dataset includes images of popular pharmaceutical drugs and vitamins in the Philippines. This is dataset can be used for classifying drug images using CNN and transfer learning. Currently, there are ten available classes of pill images. One of the primary uses would be to assist individuals in identifying medications and vitamins. This could be helpful for patients who have multiple prescriptions or for caregivers who need to manage medications for others. By taking a picture of the medication, the system could provide information about its name, dosage, and usage instructions.

Dataset :- https://www.kaggle.com/datasets/vencerlanz09/pharmaceutical-drugs-and-vitamins-dataset-v2

Describe the solution you'd like

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.

Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.

Additional context Add any other context or screenshots about the feature request here.

@TAHIR0110 kindly assign this issue to me.

[TAHIR0110]

@kyra-09 assigned as level3.