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Eric Fong

Doer79

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AI & ML interests

AI Agent, LLM

Recent Activity

reacted to DawnC's post with 🚀 10 days ago

VisionScout Major Update: Enhanced Precision Through Multi-Modal AI Integration I'm excited to share significant improvements to VisionScout that substantially enhance accuracy and analytical capabilities. ⭐️ Key Enhancements - CLIP Zero-Shot Landmark Detection: The system now identifies famous landmarks and architectural features without requiring specific training data, expanding scene understanding beyond generic object detection. - Places365 Environmental Classification: Integration of MIT's Places365 model provides robust scene baseline classification across 365 categories, significantly improving lighting analysis accuracy and overall scene identification precision. - Enhanced Multi-Modal Fusion: Advanced algorithms now dynamically combine insights from YOLOv8, CLIP, and Places365 to optimize accuracy across diverse scenarios. - Refined LLM Narratives: Llama 3.2 integration continues to transform analytical data into fluent, contextually rich descriptions while maintaining strict factual accuracy. 🎯 Future Development Focus Accuracy remains the primary development priority, with ongoing enhancements to multi-modal fusion capabilities. Future work will advance video analysis beyond current object tracking foundations to include comprehensive temporal scene understanding and dynamic narrative generation. Try it out 👉 https://huggingface.co/spaces/DawnC/VisionScout If you find this update valuable, a Like❤️ or comment means a lot! #LLM #ComputerVision #MachineLearning #MultiModel #TechForLife

reacted to DawnC's post with 🤗 26 days ago

🚀 VisionScout Now Speaks More Like Me — Thanks to LLMs! I'm thrilled to share a major update to VisionScout, my end-to-end vision system. Beyond robust object detection (YOLOv8) and semantic context (CLIP), VisionScout now features a powerful LLM-based scene narrator (Llama 3.2), improving the clarity, accuracy, and fluidity of scene understanding. This isn’t about replacing the pipeline , it’s about giving it a better voice. ✨ ⭐️ What the LLM Brings Fluent, Natural Descriptions: The LLM transforms structured outputs into human-readable narratives. Smarter Contextual Flow: It weaves lighting, objects, zones, and insights into a unified story. Grounded Expression: Carefully prompt-engineered to stay factual — it enhances, not hallucinates. Helpful Discrepancy Handling: When YOLO and CLIP diverge, the LLM adds clarity through reasoning. VisionScout Still Includes: 🖼️ YOLOv8-based detection (Nano / Medium / XLarge) 📊 Real-time stats & confidence insights 🧠 Scene understanding via multimodal fusion 🎬 Video analysis & object tracking 🎯 My Goal I built VisionScout to bridge the gap between raw vision data and meaningful understanding. This latest LLM integration helps the system communicate its insights in a way that’s more accurate, more human, and more useful. Try it out 👉 https://huggingface.co/spaces/DawnC/VisionScout If you find this update valuable, a Like❤️ or comment means a lot! #LLM #ComputerVision #MachineLearning #TechForLife

liked a Space 29 days ago

DawnC/VisionScout

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