Cool mlx-vlm segmentation demo by @Prince_Canuma at @aiDotEngineer You can do so much with it

Prince Canuma (GitHub: Blaizzy) demonstrated image segmentation capabilities using mlx-vlm at the AI Engineer event, showcasing the library's versatility beyond standard vision-language tasks. mlx-vlm is an open-source Python package he created for running inference and fine-tuning of Vision Language Models (VLMs) locally on Apple Silicon Macs using Apple's MLX framework. The demo highlighted how mlx-vlm can be applied to a broad range of multimodal use cases — including segmentation, image analysis, video captioning, and more — entirely on-device without cloud dependencies.

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Source: local-ai