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Eric Chung PRO

DawnC

AI & ML interests

Computer Vision, LLM, Hybrid Architectures, MultiModel

Recent Activity

reacted to wolfram's post with 🔥 about 12 hours ago

Finally finished my extensive **Qwen 3 evaluations** across a range of formats and quantisations, focusing on **MMLU-Pro** (Computer Science). A few take-aways stood out - especially for those interested in local deployment and performance trade-offs: 1️⃣ **Qwen3-235B-A22B** (via Fireworks API) tops the table at **83.66%** with ~55 tok/s. 2️⃣ But the **30B-A3B Unsloth** quant delivered **82.20%** while running locally at ~45 tok/s and with zero API spend. 3️⃣ The same Unsloth build is ~5x faster than Qwen's **Qwen3-32B**, which scores **82.20%** as well yet crawls at <10 tok/s. 4️⃣ On Apple silicon, the **30B MLX** port hits **79.51%** while sustaining ~64 tok/s - arguably today's best speed/quality trade-off for Mac setups. 5️⃣ The **0.6B** micro-model races above 180 tok/s but tops out at **37.56%** - that's why it's not even on the graph (50 % performance cut-off). All local runs were done with LM Studio on an M4 MacBook Pro, using Qwen's official recommended settings. **Conclusion:** Quantised 30B models now get you ~98 % of frontier-class accuracy - at a fraction of the latency, cost, and energy. For most local RAG or agent workloads, they're not just good enough - they're the new default. Well done, Qwen - you really whipped the llama's ass! And to OpenAI: for your upcoming open model, please make it MoE, with toggleable reasoning, and release it in many sizes. *This* is the future!

updated a Space about 18 hours ago

DawnC/VisionScout

posted an update 1 day ago

VisionScout — Now with Video Analysis! 🚀 I’m excited to announce a major update to VisionScout, my interactive vision tool that now supports VIDEO PROCESSING, in addition to powerful object detection and scene understanding! ⭐️ NEW: Video Analysis Is Here! 🎬 Upload any video file to detect and track objects using YOLOv8. ⏱️ Customize processing intervals to balance speed and thoroughness. 📊 Get comprehensive statistics and summaries showing object appearances across the entire video. What else can VisionScout do? 🖼️ Analyze any image and detect 80 object types with YOLOv8. 🔄 Switch between Nano, Medium, and XLarge models for speed or accuracy. 🎯 Filter by object classes (people, vehicles, animals, etc.) to focus on what matters. 📊 View detailed stats on detections, confidence levels, and distributions. 🧠 Understand scenes — interpreting environments and potential activities. ⚠️ Automatically identify possible safety concerns based on detected objects. What’s coming next? 🔎 Expanding YOLO’s object categories. ⚡ Faster real-time performance. 📱 Improved mobile responsiveness. My goal: To bridge the gap between raw detection and meaningful interpretation. I’m constantly exploring ways to help machines not just "see" but truly understand context — and to make these advanced tools accessible to everyone, regardless of technical background. Try it now! 🖼️👉 https://huggingface.co/spaces/DawnC/VisionScout If you enjoy VisionScout, a ❤️ Like for this project or feedback would mean a lot and keeps me motivated to keep building and improving! #ComputerVision #ObjectDetection #VideoAnalysis #YOLO #SceneUnderstanding #MachineLearning #TechForLife

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3862

VisionScout — Now with Video Analysis! 🚀

I’m excited to announce a major update to VisionScout, my interactive vision tool that now supports VIDEO PROCESSING, in addition to powerful object detection and scene understanding!

⭐️ NEW: Video Analysis Is Here!
🎬 Upload any video file to detect and track objects using YOLOv8.
⏱️ Customize processing intervals to balance speed and thoroughness.
📊 Get comprehensive statistics and summaries showing object appearances across the entire video.

What else can VisionScout do?

🖼️ Analyze any image and detect 80 object types with YOLOv8.
🔄 Switch between Nano, Medium, and XLarge models for speed or accuracy.
🎯 Filter by object classes (people, vehicles, animals, etc.) to focus on what matters.
📊 View detailed stats on detections, confidence levels, and distributions.
🧠 Understand scenes — interpreting environments and potential activities.
⚠️ Automatically identify possible safety concerns based on detected objects.

What’s coming next?
🔎 Expanding YOLO’s object categories.
⚡ Faster real-time performance.
📱 Improved mobile responsiveness.

My goal:
To bridge the gap between raw detection and meaningful interpretation.
I’m constantly exploring ways to help machines not just "see" but truly understand context — and to make these advanced tools accessible to everyone, regardless of technical background.

Try it now! 🖼️👉 DawnC/VisionScout

If you enjoy VisionScout, a ❤️ Like for this project or feedback would mean a lot and keeps me motivated to keep building and improving!

#ComputerVision #ObjectDetection #VideoAnalysis #YOLO #SceneUnderstanding #MachineLearning #TechForLife

Post

2913

VisionScout — Now with Scene Understanding! 🚀

I'm excited to share a major update to VisionScout, my interactive vision tool that combines powerful object detection with emerging scene understanding capabilities! 👀🔍

What can VisionScout do today?
🖼️ Upload any image and detect 80 object types using YOLOv8.
🔄 Instantly switch between Nano, Medium, and XLarge models depending on speed vs. accuracy needs.
🎯 Filter specific classes (people, vehicles, animals, etc.) to focus only on what matters to you.
📊 View detailed statistics on detected objects, confidence levels, and spatial distribution.
⭐️ NEW: Scene understanding layer now added!
- Automatically interprets the scene based on detected objects.
- Uses a combination of rule-based reasoning and CLIP-powered semantic validation.
- Outputs descriptions, possible activities, and even safety concerns.

What’s coming next?
🔎 Expanding YOLO’s object categories.
🎥 Adding video processing and multi-frame object tracking.
⚡ Faster real-time performance.
📱 Improved mobile responsiveness.

My goal:
To make advanced vision tools accessible to everyone, from beginners to experts , while continuing to push for more accurate and meaningful scene interpretation.

Try it yourself! 🖼️
👉 DawnC/VisionScout

If you enjoy VisionScout, feel free to give the project a ❤️, it really helps and keeps me motivated to keep building and improving!

Stay tuned for more updates!

#ComputerVision #ObjectDetection #YOLO #SceneUnderstanding #MachineLearning #TechForLife

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