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Vision language models like Gemma 4 are great at understanding images but terrible at counting objects. In this video, I combine Gemma 4 with Falcon Perception, a tiny 300M parameter segmentation model, inside an agentic loop to build a local vision system that can actually detect, count, and reason about objects accurately.
https://github.com/PromtEngineer/Gemma4-Visual-Agent/tree/dgx-spark-gb10
https://huggingface.co/blog/tiiuae/falcon-perception
https://deepmind.google/models/gemma/
https://developer.nvidia.com/blog/bringing-ai-closer-to-the-edge-and-on-device-with-gemma-4/
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