Скачать или смотреть Meta SAM 3 Explained: AI That Understands 270K Concepts (Complete Guide)

Meta SAM 3 Explained: AI That Understands 270K Concepts (Complete Guide)

Meta just dropped SAM 3 - and it's completely changing how AI understands the world. Instead of clicking objects manually, you just TYPE what you want in plain English, and SAM 3 finds EVERYTHING automatically. This is the most detailed breakdown you'll find anywhere.

🚨 This is a LONG video because I'm covering EVERYTHING. Use the timestamps below to jump to any section, but if you want to truly understand SAM 3, watch it all the way through.

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⏰ TIMESTAMPS:

0:00 - Introduction & What Makes SAM 3 Revolutionary
01:47 - The Evolution: SAM 1 → SAM 2 → SAM 3
04:10 - What is Promptable Concept Segmentation?
05:45 - The Numbers: SAM 3 vs Competitors
06:51 - Speed Test & Real-Time Performance
07:22 - How They Built It: The SA-Co Dataset
09:45 - Architecture Deep Dive (Detector + Tracker)
10:20 - All Prompt Types Explained
12:12 - How to Use SAM 3 for FREE (Playground Tutorial)
14:25 - Developer Guide: GitHub & API Access
16:31 - Coming Soon: Instagram, Marketplace & More
16:53 - Honest Limitations & Where SAM 3 Struggles
19:00 - Final Thoughts & Key Takeaways

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🔗 OFFICIAL RESOURCES:

✅ Try SAM 3 for FREE (No Login Required):
https://segment-anything.com

✅ Official GitHub Repository:
https://github.com/facebookresearch/sam3

✅ Model Weights (Hugging Face):
https://huggingface.co/facebook/sam3

✅ Research Paper:
https://ai.meta.com/research/publicat...

✅ Meta AI Official Blog:
https://ai.meta.com/blog/segment-anyt...

✅ SA-Co Dataset (Benchmark):
https://huggingface.co/datasets/faceb...
https://huggingface.co/datasets/faceb...
https://huggingface.co/datasets/faceb...

✅ Roboflow Integration (Fine-tuning):
https://roboflow.com

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📊 KEY STATS COVERED IN THIS VIDEO:

270,000 unique concepts in SA-Co benchmark
4+ million concepts in training dataset
5.2 million images & 52,500 videos used for training
1.4 BILLION masks annotated
75-80% of human-level performance
4x better than Google Gemini 2.5 Pro
2x better than specialist models like OWLv2
30 milliseconds per image processing time
848 million parameters
Real-time video processing at 30+ FPS

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💡 WHAT YOU'LL LEARN:

✓ How SAM 3's Promptable Concept Segmentation actually works
✓ The difference between SAM 1, SAM 2, and SAM 3
✓ How to use text, visual, and exemplar prompts effectively
✓ Step-by-step tutorial for the free playground
✓ How to integrate SAM 3 into your own projects
✓ Honest limitations and where it struggles
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💬 LET'S DISCUSS:

What would YOU use SAM 3 for? Drop your use case in the comments below! The most creative idea gets featured in my next video.

Questions about SAM 3? Ask below and I'll answer them all!

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📌 ABOUT THIS CHANNEL:

I break down the latest AI releases and show you exactly how to use them. No hype, no BS, just practical tutorials and honest reviews. If you want to stay ahead in AI, you're in the right place.

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#MetaAI #SAM3 #SegmentAnything #ComputerVision #MachineLearning #DeepLearning

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📄 DISCLAIMER:

This video is for educational purposes. All product names, logos, and brands are property of their respective owners. I am not affiliated with Meta or Facebook. Results may vary based on your use case and hardware specifications.

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