DunnBC22/Vision_Audio_and_Multimodal_Projects
This repository includes all computer vision, audio, document AI, and multimodal projects.
This collection of projects helps analyze images to automatically categorize content or detect specific objects. You can input various types of images, such as medical scans, satellite photos, or general pictures, to classify them (e.g., 'tumor' or 'no tumor') or pinpoint items like license plates or specific organs. It's designed for professionals like medical practitioners, researchers, or anyone needing to automate visual data analysis.
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Use this if you need to build or evaluate models that automatically understand and categorize content within images or identify objects in visual data.
Not ideal if your primary need involves analyzing text-based data, audio, or if you require models built using Apache Spark.
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Jun 07, 2024
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