Project information

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

The academic ML Classification application, designed for educational purposes, Leverages transfer learning with MobileNetV2 is a strategic choice for food 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 101 output neurons, I align it with the number of food classes, optimizing its ability to recognize diverse food 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.