YOLOv8 | Object Detection on a Custom Dataset using YOLOv8

YOLOv8
Ultralytics YOLOv8, developed by Ultralytics, is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection, image segmentation and image classification tasks.

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#YOLOv8
#yolo
#objectdetection

[shravanacharya]

I have gone through your various tutorials, I can guarantee 100% that everyone will understand this concept. Thank you so much you're doing an amazing job.

[sushantparajuli]

Wow!! you are brilliant ma'am. Up to date every time. Thank you so much for the invaluable pieces of information.

[PRIYAINTOUCH]

Excellent, Elite and Eloquent content and crystal-clear explanations. If possible, provide object detection with voice or sound output ie. object name.

[DhavalShukla-mcos]

I am trying to do a traffic light detection project on google colab and during training I am encountering path related errors. What I had in my .yaml file is configuration of train, val, test folders each containing images, labels folders with paths as and such is the same for /content/..../train/labels. Now what should there exactly be for it to run without errors? Would you have an idea? What paths I should add in every case? Any suggestions from anyone?

[jonatapaulino]

Hey, thanks for the tips. This files images/1.jpg is where? I downloaded an image and ran the code but I couldn't get the image recognized.

[germancruz]

Will there be any case of transfer learning to add a new class (x classes + new class) to a previously trained model YOLOv8 (x classes)?

[oykuecekoken]

Thank you for the video. I want to show the timer value in the bounding box for each introduced object, how should I do it?

[mayaltaee]

@CodeWithAarohi, Hello, I traind the yolov8 (detect) on custom dataset now how can I assess the yolov8 model with test dataset where I can get Recall, Precision, mAP, confusion matrix, curvs, and accurecy.

[kosttavmalhotra]

mam is there any video on you channel which shos how to install, which folders to opt for and while dealing with ultralytics env on your channel

[isfzjwc]

Aarohi ma'am, I have a dataset of chest xrays. I want to predict the active tb and latent tb . but the other 2 classes dont have annotations. how to approach this?

[zaidbilakhia]

Hello, WIth GPU (with cuda) it doesnt work but with cpu it works.
NotImplementedError: Could not run 'torchvision::nms' with arguments from the 'CUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build)

[URCL]

Great video! Do you know how to choose specific model to train (i.e. yolov8s or yolov8m) without passing pretrained weights?

[lzluyjx]

Can you please explain why the background is there in confusion matrix even i don't have a class called background.did it trained with other classes

[Rishu_Dakshin]

Im new to Yolo and with the help of your video i was able to run the code. Thank you for your efforts

[rakeshbullet]

Can u please share the link for github repo shown in the video . Could not locate that in the description of the video unless i missed it.

[hamidddshekoohiii]

You plainly explained it.Thankyou so much👍👍

[ShivamRana-wvuo]

after using task=predict command it is showing "448x640 10 humans, 16.0ms
" but the output image is not shown. Iam running it on pycharm

[JasonsFun]

It's a great video. I have tried it out and it's working like a charm. Thank you

[oxynofiring]

how can i reuse this trained model by saving it

[goksel]

I'm going to make multi label classification (9 classes). Am i have to create text files for labels ? Or add csv files each train and val folders? I'm confused because I put all images in the folders of the classes they belong to and i thought classification models doesnt have to include csv or text files because of this.
Thank you from now