di37/multiclass-image-classification-using-multimodal-llms
A comprehensive comparison of multimodal models - llama3.2-vision, minicpm-v, llava-llama3, llava, llava13:b and closed source models for animal classification tasks. This project evaluates various models' performance in classifying 10 different animal species, ranging from common to rare animals.
This project helps evaluate and compare different AI models for automatically identifying animals in images. You provide a set of animal pictures, and it tells you which models are best at classifying them accurately. This is useful for researchers or anyone building systems that need to recognize animals from images.
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Use this if you need to choose the best multimodal AI model for an animal image classification task and want to understand the trade-offs between different open-source and commercial options.
Not ideal if you need a pre-built, ready-to-deploy animal classification application without wanting to compare model performance or understand underlying metrics.
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Dec 10, 2024
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