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Freelancer Overview
Worked on university projects that involved image identification, leveraging advanced techniques in computer vision and machine learning. These projects included: Image Classification: Objective: Develop a model to categorize images into predefined classes. Technologies Used: Python. Approach: Utilised convolutional neural networks (CNNs) to automatically learn and extract features from images. Employed data augmentation techniques to enhance model robustness. Image Segmentation: Objective: Segment images into regions of interest for detailed analysis. Technologies Used: Mask R-CNN. Approach: Implemented semantic and instance segmentation models to classify each pixel of an image, enabling precise delineation of objects and their boundaries.
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