Fashion Recommendation System Dataset Creation and Image Classification
ImageClassification
I created a custom clothing image dataset of over 5,000 samples, applied augmentation, and labeled them for fashion recommendation training. Using YOLOv8 for clothing detection and InceptionV3 for body-shape classification, I fine-tuned models for image-based prediction. My work involved images annotated with classes for both garments and user body types to enable better recommendations.
• Labeled thousands of images with clothing and body-type classes.
• Used Python-based tools and deep learning frameworks for efficient processing.
• Ensured dataset quality through augmentation and regularization.
• Collaborated in evaluating the trained model’s accuracy and optimizing inference.
I created a custom clothing image dataset of over 5,000 samples, applied augmentation, and labeled them for fashion recommendation training. Using YOLOv8 for clothing detection and InceptionV3 for body-shape classification, I fine-tuned models for image-based prediction. My work involved images annotated with classes for both garments and user body types to enable better recommendations. • Labeled thousands of images with clothing and body-type classes. • Used Python-based tools and deep learning frameworks for efficient processing. • Ensured dataset quality through augmentation and regularization. • Collaborated in evaluating the trained model’s accuracy and optimizing inference.
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