Gemma 4 Vision Agent | Object Detection + VLM Pipeline

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. The whole agentic loop is running on NVIDIA DGX Spark, which has enough memory to run both Gemma and Falcon Perception models. 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/ inspired by this post: https://x.com/MaziyarPanahi/status/2041139136644407653 My Dictation App: www.whryte.com Website: https://engineerprompt.ai/ RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: engineerprompt@gmail.com Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0