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This study presents a comprehensive evaluation of tools available on theHuggingFace platform for two pivotal applications in artificial intelligence:image segmentation and voice conversion. The primary objective was to identifythe top three tools within each category and subsequently install and configurethese tools on Linux systems. We leveraged the power of pre-trainedsegmentation models such as SAM and DETR Model with ResNet-50 backbone forimage segmentation, and the so-vits-svc-fork model for voice conversion. Thispaper delves into the methodologies and challenges encountered during theimplementation process, and showcases the successful combination of videosegmentation and voice conversion in a unified project named AutoVisual FusionSuite.

AutoVisual Fusion Suite: A Comprehensive Evaluation of Image Segmentation and Voice Conversion Tools on HuggingFace Platform