Custom object detection in Python using YOLOv8

[@LWatson]

Wow this is genuinely fantastic tutorial, thanks!

[@Athens1992]

do u have an example if u want to do image augmentation so a flip in an image would someone need also to flip the coordinates of the labels.
welcome back to youtube.

[@abhishekkrthakur]

thanks! albumentations takes care of flipping coordinates too!

[@Athens1992]

@@abhishekkrthakur thanks i am gonna check it

[@sanjoetv5748]

can you teach us how to customized yolov8 landmark for measurement. Modify the architecture of the yolov8 landmark to measure and object size. can you do that?

[@bilalshahid7494]

Hi, can you please tell how can I determine accuracy, precision and f1 score on my testing data?

[@mr.musalman6801]

Thanks, for the video. How to fix that tensor board issue in Kaggle please explain.
Also I wanna a video about segmentation using YOLO v8.
Thanks again for this video.

[@gunasekhar8440]

But my data set contains different dimensions of images. I have just completed the image annotations. But in the video he said that image size is very important. So what can j do now?

[@prabaldutta1935]

How to train yolov8 for custom keypoint detection?

[@girrajjangid4681]

Thanks @abhishek. Just a one question if we implement object detection which is better in MaskRCNN / yolo v7/8? I know MaskRCNN is segmentation model but it also produce bbox I am considering that. Your response will highly appreciable

[@saeedahmad4925]

Mask RCNN is two stage detector, it will give you better mAPs on expense of inference times. Yolo is fast.

[@glenn-jocher-ultralytics]

Yesss YOLOv8 😍

[@YigalBZ]

Thanks for the good video. The title is confusing - custom usually means my own date, yet you use an existing dataset, without showing hot to train my own images (labeling etc.).

[@abhishekkrthakur]

that existing data is also custom. its not a data creation video.

[@venkateshr6127]

Sir please we need separate book dedicated for transformers 🙏

[@aroundTrip33]

Camera!!