In this video, we will give you a detailed walkthrough of a computer vision project using the Ultralytics Python package. From defining project goals to deploying and maintaining the model, we cover all the essential steps for a successful computer vision project.

Key moments ️
0:00 – Presentation
1:17 – Ultralytic Documentation Overview
1:56 – Step-by-step steps of a computer vision project
4:33 – Define project objectives
5:09 p.m. – Selecting the right model and training approach
6:53 – Data collection and annotation
7:30 a.m. – Data augmentation and data set splitting
9:20 a.m. – Overview of the model training process
9:55 a.m. – Model evaluation and fine-tuning
10:08 a.m. – Testing and deployment of the model
10:48 a.m. – Monitoring, maintenance and documentation
11:57 a.m. – Conclusion and summary

Learn more ️ https://docs.ultralytics.com/guides/steps-of-a-cv-project/

Ultralytic Resources
– About us – https://ultralytics.com/about
– Join our team – https://ultralytics.com/work
– Contact us – https://ultralytics.com/contact
– Discord – https://discord.gg/ultralytics
– Ultralytics License – https://ultralytics.com/license

YOLOv8 Resources
– GitHub – https://github.com/ultralytics/ultralytics
– Documents – https://docs.ultralytics.com/

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