# Advice on the use of YOLOv8 and on the annotation task

**URL:** <https://discuss.roboflow.com/t/advice-on-the-use-of-yolov8-and-on-the-annotation-task/5919>\
**Category:** 🛠️ Feature Reqs\
**Created:** [May 23, 2024, 2:43pm UTC](https://discuss.roboflow.com/t/advice-on-the-use-of-yolov8-and-on-the-annotation-task/5919 "2024-05-23T14:43:22Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![JoeYabuki](https://yyz1.discourse-cdn.com/flex029/user_avatar/discuss.roboflow.com/joeyabuki/32/2633_2.png) [@JoeYabuki](https://discuss.roboflow.com/u/JoeYabuki)\
**Post date:** [May 23, 2024, 2:43pm UTC](https://discuss.roboflow.com/t/advice-on-the-use-of-yolov8-and-on-the-annotation-task/5919/1 "2024-05-23T14:43:22Z")

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Hi guys, I just want an advice on the use of yolov8 for my project.  
I have my custom dataset, and I want to use yolov8 as detector only, and then use a classifier such as EfficientNet or someother, to classify what yolo detects. what I want to do is:

- take the pre-trained yolov8 model on the coco dataset
- retrain it on my custom dataset using the single\_cls = true variable so that I ignore the classification task (?)
- take a classifier and train it on my custom dataset
- pass the regions detected by yolo to the classifier and see the results.

is this a good plan? Is this the correct way to use YOLOv8?

P.S. I have a doubt about the dataset annotation. If there is the object I need to annotate on the ground for like 10 seconds in the same exact position, but around it there are other objects in movement that I need to annotate, should I annotate that object for every frame or should I annotate it only once?

example: a car stopped at the trafficlight for 10 seconds. In these 10 seconds there are people walking. So for all the frames I annotate all the people, but should I annotate the car too despite it is the same identical bounding box?