Project information

• Category: ML/DL CLASSIFICATION
• Client: Academic
• Project date: 01 Jun 2023 - 01 Oct 2023
• Technology: ML, DL, AI, Python, PyTorch
• GitHub URL:

The academic DL Classification application, designed for educational purposes, Leverages transfer learning with MobileNetV2 is a strategic choice for cifar image classification in computer vision (CV). MobileNetV2's efficient architecture makes it an excellent candidate for this task. By connecting the final layer of the model to 100 output neurons, I align it with the number of cifar-100 classes, optimizing its ability to recognize diverse items. This approach combines the advantages of pre-trained feature extraction with the adaptability needed for fine-tuning, significantly enhancing the efficiency and accuracy of food classification in CV applications.