PANEL: Open Source Projects Enabling the Future of Computer Vision AI
Join an insightful panel discussion on the future of computer vision AI with leading experts from Ultralytics, Baidu, and MM Lab! 🚀 This video dives into the origins, development, and impact of key open-source projects that are shaping the landscape of AI technologies today.
🌟 Highlights:
- Origins of Major Projects: Discover how YOLO, PaddlePaddle, and MMDetection started, from student projects to industry-leading frameworks.
- Development Journeys: Learn about the evolution of these projects, including community contributions and advancements in architecture design.
- Community Impact: Understand how feedback and community involvement have been crucial in refining and enhancing these AI tools.
- Memorable Milestones: Hear about significant milestones and challenges from experts who have been at the forefront of these projects.
Specific models and datasets discussed:
- YOLOv5 by Ultralytics: Simplified and ported to PyTorch for better accessibility and community involvement.
- PaddlePaddle and PaddleDetection by Baidu: Applied in fields from search engine systems to various AI applications.
- MMDetection by MM Lab: A comprehensive library for object detection and segmentation.
📚 Dive Deeper:
- Check out our blog on "A Deep Dive into the Capabilities of OpenAI's GPT-4o Mini" for more AI insights: https://www.ultralytics.com/blog/a-deep-dive-into-the-capabilities-of-openais-gpt-4o-mini
- Learn about "Export and Optimize a YOLOv8 Model for Inference on OpenVINO": https://www.ultralytics.com/blog/export-and-optimize-a-yolov8-model-for-inference-on-openvino
- Discover Ultralytics HUB: https://www.ultralytics.com/hub
- Explore YOLOv8: https://www.ultralytics.com/yolo
👉 Don't forget to like, subscribe, and visit our website for more details on how Ultralytics is revolutionizing AI!
#YOLOv5 #Ultralytics #ComputerVision #AI #OpenSource #DeepLearning #MachineLearning #PaddlePaddle #MMDetection #VisionAI #Innovation #AICommunity
Join an insightful panel discussion on the future of computer vision AI with leading experts from Ultralytics, Baidu, and MM Lab! 🚀 This video dives into the origins, development, and impact of key open-source projects that are shaping the landscape of AI technologies today.
🌟 Highlights:
– Origins of Major Projects: Discover how YOLO, PaddlePaddle, and MMDetection started, from student projects to industry-leading frameworks.
– Development Journeys: Learn about the evolution of these projects, including community contributions and advancements in architecture design.
– Community Impact: Understand how feedback and community involvement have been crucial in refining and enhancing these AI tools.
– Memorable Milestones: Hear about significant milestones and challenges from experts who have been at the forefront of these projects.
Specific models and datasets discussed:
– YOLOv5 by Ultralytics: Simplified and ported to PyTorch for better accessibility and community involvement.
– PaddlePaddle and PaddleDetection by Baidu: Applied in fields from search engine systems to various AI applications.
– MMDetection by MM Lab: A comprehensive library for object detection and segmentation.
📚 Dive Deeper:
– Check out our blog on “A Deep Dive into the Capabilities of OpenAI’s GPT-4o Mini” for more AI insights: https://www.ultralytics.com/blog/a-deep-dive-into-the-capabilities-of-openais-gpt-4o-mini
– Learn about “Export and Optimize a YOLOv8 Model for Inference on OpenVINO”: https://www.ultralytics.com/blog/export-and-optimize-a-yolov8-model-for-inference-on-openvino
– Discover Ultralytics HUB: https://www.ultralytics.com/hub
– Explore YOLOv8: https://www.ultralytics.com/yolo
👉 Don’t forget to like, subscribe, and visit our website for more details on how Ultralytics is revolutionizing AI!
#YOLOv5 #Ultralytics #ComputerVision #AI #OpenSource #DeepLearning #MachineLearning #PaddlePaddle #MMDetection #VisionAI #Innovation #AICommunity
