YOLOv7 Masterclass: Deep Learning – Computer Vision Course is a training course on YOLO object recognition algorithm version 7 and deep learning and machine vision algorithms published by Yodemi Academy. This training course includes a series of topics related to the YOLO algorithm, such as evaluation, practice, and training of new and personalized data sets, simultaneous and immediate object detection, head rotation (Pose Estimation), image segmentation, labeling, etc. to be During the last few years, many algorithms and models have entered the field of competition to compete with YOLO, but none of them have been as accurate and fast as YOLO. Yolo’s performance is very optimal and efficient compared to other available options, and it can be used in a wide range of different projects.
What you will learn in YOLOv7 Masterclass: Deep Learning – Computer Vision Course:
- Setting up and running a YOLO program from zero to one hundred in order to recognize 80 different objects in less than ten minutes.
- Initial installation of YOLOv7
- Practice and training of different YOLOv7 models
- Using unique and new information sets
- Using object recognition algorithms in images, videos, and live images such as webcams and CCTV cameras
- Getting to know the YOLOv7 architecture and how it works behind the scenes
- Finding ready datasets and datasets
- Overwriting data and labeling different data with labeling
- Automatic separation of different data sets
- Illustration and visual representation of the process of teaching and practicing different models in TensorBoard
- And …
Instructor: Dr. Priyanto Hidayatullah and Stunning Vision AI Academy
Education level: Intermediate
Number of lessons: 38
Duration of training: 2 hours and 34 minutes
YOLOv7 Masterclass Course headings
YOLOv7 Masterclass Course prerequisites
Programming experience is an advantage but not required
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