YOLO VISION 2023 | Building with open-source and YOLOv8
Join Joseph Nelson, Co-Founder & CEO of Roboflow, at YOLO VISION 2023 for an illuminating session on leveraging open-source tools with Ultralytics YOLOv8 to rapidly advance your computer vision projects. This video dives into a wealth of open-source resources: comprehensive image repositories, automated data labeling libraries, and effective tools for tracking, counting, and model deployment. Joseph demonstrates how combining these resources with the power of YOLOv8 can significantly streamline your AI development workflow.
In this session, you'll learn about:
1. The foundational vision models like OpenAI's CLIP and Meta AI's Segment Anything.
2. Practical examples of computer vision applications, including flame-throwing weed-killing robots, cat exercise machines, and drone navigation systems.
3. The role of foundation models in modern AI development and how they can act as a "cheat code" for efficient model training.
4. Innovations in automated data labeling and deployment using tools like AutoDistill and Roboflow JS.
Discover how foundation models change the paradigm for building computer vision applications by starting with pre-trained models and continuously improving them based on real-world performance. Whether you're looking to optimize environmental monitoring, create engaging AR applications, or streamline industrial processes, this video provides valuable insights and practical guidance.
Don't miss out on the opportunity to elevate your AI projects with these cutting-edge tools and techniques! Like, subscribe, and explore more below to stay updated with the latest in AI and computer vision.
🏠 Ultralytics Home: https://www.ultralytics.com
🚀 Ultralytics HUB: https://www.ultralytics.com/hub
📚 Roboflow on Building with Open Source and Ultralytics YOLOv8: https://www.ultralytics.com/blog/roboflow-on-building-with-open-source-and-ultralytics-yolov8
📝 Semantic Search with CLIP: https://www.ultralytics.com/blog/transforming-retail-unleashing-the-potential-of-foundation-models
#YOLOv8 #Ultralytics #ComputerVision #AI #OpenSource #MachineLearning #DeepLearning #AIInnovation #VisionAI #Roboflow
Видео YOLO VISION 2023 | Building with open-source and YOLOv8 канала Ultralytics
In this session, you'll learn about:
1. The foundational vision models like OpenAI's CLIP and Meta AI's Segment Anything.
2. Practical examples of computer vision applications, including flame-throwing weed-killing robots, cat exercise machines, and drone navigation systems.
3. The role of foundation models in modern AI development and how they can act as a "cheat code" for efficient model training.
4. Innovations in automated data labeling and deployment using tools like AutoDistill and Roboflow JS.
Discover how foundation models change the paradigm for building computer vision applications by starting with pre-trained models and continuously improving them based on real-world performance. Whether you're looking to optimize environmental monitoring, create engaging AR applications, or streamline industrial processes, this video provides valuable insights and practical guidance.
Don't miss out on the opportunity to elevate your AI projects with these cutting-edge tools and techniques! Like, subscribe, and explore more below to stay updated with the latest in AI and computer vision.
🏠 Ultralytics Home: https://www.ultralytics.com
🚀 Ultralytics HUB: https://www.ultralytics.com/hub
📚 Roboflow on Building with Open Source and Ultralytics YOLOv8: https://www.ultralytics.com/blog/roboflow-on-building-with-open-source-and-ultralytics-yolov8
📝 Semantic Search with CLIP: https://www.ultralytics.com/blog/transforming-retail-unleashing-the-potential-of-foundation-models
#YOLOv8 #Ultralytics #ComputerVision #AI #OpenSource #MachineLearning #DeepLearning #AIInnovation #VisionAI #Roboflow
Видео YOLO VISION 2023 | Building with open-source and YOLOv8 канала Ultralytics
AI Artificial Intelligence AutoDistill CLIP COCO Computer Vision CoreML Craft Ventures Data Science Deep Learning Foundation Models Image Segmentation ImageNet Joseph Nelson ML Machine Learning Meta AI NLP ONNX Object Detection Object Tracking OpenAI OpenVINO Pose Estimation PyTorch Rick Roll Roboflow Segment Anything TensorFlow TensorRT Ultralytics Vision AI Y Combinator YOLO YOLOR YOLOv10 YOLOv8 YOLOv8 model YOLOv8l YOLOv8m YOLOv8n YOLOv8s YOLOv8x
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14 марта 2024 г. 16:19:37
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