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๐ Revolutionary Method to Convert YOLOv8 to On-Device AI with mobile NPU utilizations
Attention AI developers and engineers!
Discover how ZETIC.MLange can effortlessly transform YOLOv8 models into on-device AI with mobile NPU utilizations. ๐
๐ก We highlight the power of mobile NPU, showing how it outperforms CPU in processing speed. The results speak for themselvesโNPU-driven execution is faster, smarter, and more efficient.
* Real-time demos are no easy feat but with ZETIC.MLange, weโve made it possible!
๐ฅ Watch the video to see how weโre revolutionizing on-device AI.
: https://youtu.be/LkP3JDTcVN8?si=6Ha5vHA-G7jZE9oq
๐ Our team has successfully implemented YOLOv8 as on-device AI using ZETIC.MLange. This innovative approach enables high-performance object detection across various manufacturers mobile devices.
๐ Curious about the details? We've shared a comprehensive guide on our blog. Check it out through the link below!
๐ Blog link: https://zetic.ai/blog/implementing-yolov8-on-device-ai-with-zetic-mlange
Attention AI developers and engineers!
Discover how ZETIC.MLange can effortlessly transform YOLOv8 models into on-device AI with mobile NPU utilizations. ๐
๐ก We highlight the power of mobile NPU, showing how it outperforms CPU in processing speed. The results speak for themselvesโNPU-driven execution is faster, smarter, and more efficient.
* Real-time demos are no easy feat but with ZETIC.MLange, weโve made it possible!
๐ฅ Watch the video to see how weโre revolutionizing on-device AI.
: https://youtu.be/LkP3JDTcVN8?si=6Ha5vHA-G7jZE9oq
๐ Our team has successfully implemented YOLOv8 as on-device AI using ZETIC.MLange. This innovative approach enables high-performance object detection across various manufacturers mobile devices.
๐ Curious about the details? We've shared a comprehensive guide on our blog. Check it out through the link below!
๐ Blog link: https://zetic.ai/blog/implementing-yolov8-on-device-ai-with-zetic-mlange