I will develop custom machine learning and deep learning models using Python for your project requirements.
I specialize in image classification, object detection, semantic segmentation, data preprocessing, model training, model evaluation, and AI application development. I can work with your dataset, research paper, existing code, or project specifications.
My experience includes developing a Bangladeshi mango variety classifier using EfficientNetB0, a YOLOv8-based road scene object detection system, and TerraSeg, an on-device satellite image segmentation application using DeepLabV3-ResNet50.
Services include:
• Machine learning model development
• Deep learning model implementation
• Image classification
• Object detection
• Semantic segmentation
• Dataset cleaning and preprocessing
• Data augmentation
• Transfer learning
• Model training and testing
• Accuracy and performance evaluation
• Confusion matrix and classification report
• Python and Jupyter Notebook implementation
• PyTorch, TensorFlow, Keras, and OpenCV development
• Streamlit AI demo application development
• Research paper implementation and documentation
I focus on clean and organized code, practical implementation, understandable documentation, and results based on your requirements. Please provide your dataset, project description, expected output, evaluation metrics, and any reference paper or existing code.