Top Object Detection Models in 2023 | Model Selection Guide sponsored by Intel
20.9 هزار بار بازدید -
10 ماه پیش
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Description:Discover the top object detection
Description:
Discover the top object detection models in 2023 in this comprehensive video. We compare models like YOLOv8, YOLOv7, RTMDet, DETA, DINO, and GroundingDINO based on metrics like Mean Average Precision, community support, packaging, and licensing for you to decide which is best for your production AI applications. The video also details the challenges in comparing model speed and highlights important nuances within the realm of object detection, like choosing the right model for the right hardware and use case. It's an essential watch for anyone interested in computer vision and model selection. This research was sponsored by Intel.
#ObjectDetection #ComputerVision
Chapters:
- 00:00 Introduction
- 00:35 Object Detection
- 01:42 Mean Average Precision
- 02:28 Speed
- 03:40 Paper, Packaging, and License
- 04:35 YOLOv8
- 05:21 YOLOv7
- 06:06 YOLOv6-v3
- 07:01 RTMDet
- 07:46 RT-DETR
- 08:50 DETA
- 10:02 GroundingDINO
- 10:37 Model Community Comparison
- 11:46 Conclusion
Resources:
- 🌏 Roboflow: https://roboflow.com
- 📚 Roboflow Notebooks Repository: https://github.com/roboflow/notebooks
- 🌌 Roboflow Universe: https://universe.roboflow.com
- 📈GPU vs Intel HPU (new hardware options for AI): https://blog.roboflow.com/gpu-vs-hpu/
Stay updated with the projects I'm working on at https://github.com/roboflow and https://github.com/SkalskiP! ⭐
Remember to like, comment, and subscribe for more content on AI, computer vision, and the latest technological breakthroughs! 🚀
Discover the top object detection models in 2023 in this comprehensive video. We compare models like YOLOv8, YOLOv7, RTMDet, DETA, DINO, and GroundingDINO based on metrics like Mean Average Precision, community support, packaging, and licensing for you to decide which is best for your production AI applications. The video also details the challenges in comparing model speed and highlights important nuances within the realm of object detection, like choosing the right model for the right hardware and use case. It's an essential watch for anyone interested in computer vision and model selection. This research was sponsored by Intel.
#ObjectDetection #ComputerVision
Chapters:
- 00:00 Introduction
- 00:35 Object Detection
- 01:42 Mean Average Precision
- 02:28 Speed
- 03:40 Paper, Packaging, and License
- 04:35 YOLOv8
- 05:21 YOLOv7
- 06:06 YOLOv6-v3
- 07:01 RTMDet
- 07:46 RT-DETR
- 08:50 DETA
- 10:02 GroundingDINO
- 10:37 Model Community Comparison
- 11:46 Conclusion
Resources:
- 🌏 Roboflow: https://roboflow.com
- 📚 Roboflow Notebooks Repository: https://github.com/roboflow/notebooks
- 🌌 Roboflow Universe: https://universe.roboflow.com
- 📈GPU vs Intel HPU (new hardware options for AI): https://blog.roboflow.com/gpu-vs-hpu/
Stay updated with the projects I'm working on at https://github.com/roboflow and https://github.com/SkalskiP! ⭐
Remember to like, comment, and subscribe for more content on AI, computer vision, and the latest technological breakthroughs! 🚀
10 ماه پیش
در تاریخ 1402/07/10 منتشر شده
است.
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